Pausing a product roadmap for an entire month to point 700 engineers at a single goal is a significant structural shift, but it transformed monday.com. Andrew sits down with VP of R&D Sergei Liakhovetsky to uncover how fixing core infrastructure and adopting a cell-based architecture paved the way for platform scale. Sergei details the exact framework his leadership team used during their 30-day pause to launch user solutions while maintaining a strict zero-bureaucracy policy. The conversation also explores the new realities of reliability as platforms transition from being CPU-bound to heavily GPU-bound under the weight of automated agents.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:monday magic: A tool for generating initial work solutions and boards using simple prompts.monday vibe: An app builder that allows users to create custom applications on top of the monday.com platform.Sidekick: The horizontal AI assistant/copilot that works across the entire platform to help with tasks like data management and content generation.Agent Factory: A platform for building vertical, specialized agents that can handle specific workflows and roles.Connect with Sergei Liakhovetsky on LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Andrew and Ben break down a busy week on the Friday Deploy, starting with the market reaction to new COBOL tools and the permissions oversights that led to recent outages at AWS. They also explore the shifting landscape of developer productivity studies, the security risks of cloud-hosted agents, and the latest cybersecurity takeaways from the International AI Safety report. Finally, they close out the episode by checking in on a retired Claude model that was given a blog.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:IBM Didn’t Lose 13% Because COBOL DiedAWS suffered ‘at least two outages’ caused by AI tools, and now I’m convinced we’re living inside a ‘Silicon Valley’ episodeWe are Changing our Developer Productivity Experiment DesignDeepfakes spreading and more AI companions’: seven takeaways from the latest artificial intelligence safety reportGreetings from the Other Side (of the AI Frontier)OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Your keyboard is the biggest bottleneck in your engineering workflow. This week, Andrew sits down with Wispr co-founder and CTO Sahaj Garg to discuss why traditional voice dictation failed us, and how his team is rebuilding trust by using contextual models to capture a developer's raw intent rather than treating speech models as "dumb" tools that just produce literal transcripts. Together, they explore the engineering hurdles of translating a messy stream of consciousness into perfectly formatted, zero-edit artifacts that can be instantly understood by both AI coding agents and human coworkers. Finally, Sahaj shares his framework for experimenting with new tools and why surviving this era of software development requires completely reinventing yourself and your organization every three months.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Try Wispr FlowNow on Android Connect with Sahaj on LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is the traditional engineering backlog officially a thing of the past? Andrew and Ben explore the principles of outcome engineering and how continuous productivity is permanently changing how software gets built. They also examine a busy week of industry news, from Peter Steinberger joining OpenAI to the amusing and bewildering story of a hit piece written by an autonomous AI agent. Finally, the hosts break down the existential crises of Gemini 3 Pro inside a virtual village and why Meta product managers are rebranding themselves as AI builders.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:OpenAI's acquisition of OpenClaw signals the beginning of the end of the ChatGPT eraAn AI Agent Published a Hit Piece on MeOutcome EngineeringThe Drama and Dysfunction of Gemini 2.5 and 3 ProSeveral Meta employees have started calling themselves 'AI builders'OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

When the Ralph autonomous loop was born, Dex Horthy was "in the garden," witnessing the spark that set the AI engineering community on fire. Andrew sits down with the HumanLayer founder to discuss how to escape the "Dumb Zone" by applying his strict RPI (Research, Plan, Implement) methodology - a process that forces agents to generate intermediate design artifacts and align on architectural decisions before writing a single line of code. They also break down the brutal economics of agentic coding, recounting how Dex’s team used autonomous loops to clone six sponsor products overnight at a hackathon.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanArticles & Talks:No Vibes Allowed: Solving Hard Problems in Complex Codebases: Dex’s viral talk from the AI Engineer World’s Fair that introduced the "Dumb Zone" concept.The AI Vampire: Steve Yegge’s reflection on burnout and agentic economics.12-Factor Agents: Human Layer’s methodology for building reliable agentic systems.Follow today's guest:Website: humanlayer.devTwitter: @dexhorthyLinkedIn: Dexter HorthyOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Did AI agents just DDoS GitHub? Andrew and Ben are joined by Warp Founder and CEO Zach Lloyd to discuss the massive strain agentic workflows are putting on our infrastructure and why the "Monday Morning Commit Spike" is the new normal. They also dive into Steve Yegge’s reflective piece on the "AI Vampire" and the economic pressure on developers to output 10x results without 10x pay. Finally, Zach unveils "Oz," Warp's new platform designed to move agents off your laptop and into the cloud for better orchestration, security, and team collaboration.LinearB: The AI productivity platform for engineering leadersFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:GitHub: GitHub appears to be struggling with measly three nines availabilityThe AI Vampire: Read Steve Yegge's ArticleOpen Coding Agents: Tim Dettmers/AI2 Research on Open Coding Agents (SERA)Listen to: The future of the terminal is not a terminalWarp Oz: Introducing Oz: The Orchestration Platform for Cloud AgentsBlog: Introducing Oz: the orchestration platform for cloud agentsConnect with Zach Lloyd: LinkedIn | X (Twitter)OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is Slack just a chat app, or is it becoming the command line for the agentic future? Andrew sits down with Kurtis Kemple, Senior Director of DevRel at Slack, to discuss the platform's evolution into an "agentic work operating system" where humans and bots collaborate in real-time. They explore the concept of "leaky prompts," how to harness unstructured chat data to drive automation, and share practical advice on how engineering leaders can start deploying their own custom agents to reclaim their time.Watch the Vibe Coding Session: If you enjoyed this conversation, subscribe to the Dev Interrupted YouTube Channel to watch Andrew and Kurtis vibe code together!LinearBUnify your Copilot and Cursor impact metricsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Slack for Developers: api.slack.comSalesforce Agentforce: Learn more about AgentforceBolt for JavaScript: Slack's FrameworkConnect with Kurtis on LinkedIn OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What happens when 1.7 million autonomous agents build their own social network and start hiring humans for physical labor? Andrew and Ben break down the most surreal week in AI history - from the Moltbook social network to the Rent-a-Human marketplace - and debate whether vibe coding is killing open source. Later, they sit down with Gary Lerhaupt, VP of Product Architecture at Salesforce, to discuss the new Connectivity Benchmark report, why monolithic agents are an anti-pattern, and how "Super Agents" are evolving to orchestrate fleets of specialized sub-agents across the enterprise.LinearB: The AI productivity platform for engineering leadersFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Salesforce Connectivity Benchmark: Read the ReportAgentforce: Learn more about Salesforce AgentsConnect with Gary Lerhaupt: LinkedInMoltbook: The AI social networkRent-a-Human: rentahuman.aiOpenClaw (a.k.a. Moltbot) is everywhere all at once, and a disaster waiting to happenThe Agentic Shift: Redefining Enterprise SDLC from Assistance to AutonomyHow Vibe Coding Is Killing Open SourceOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

AI has successfully solved the blank page problem for developers, but it has created a massive new bottleneck downstream in the SDLC. LinearB CEO Ori Keren joins us to explain why 2026 will be a year of norming as organizations struggle to digest the flood of AI-generated code. In this annual prediction episode, he details why upstream velocity gains are being lost to chaos in reviews and testing. We also discuss why enterprises aren't ready to hand over the keys to autonomous agents and how to build dynamic pipelines based on risk.LinearB Access the AI code review metrics dashboardUnify your Copilot and Cursor impact metricsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Follow Ori on LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this Friday Deploy, Andrew and Ben dive into the viral Moltbot (now OpenClaw) phenomenon and Steve Yegge's Software Survival 3.0 essay, debating how SaaS companies can build moats in an era of token-constrained engineering. They also explore the concept of "Dark Flow" - a deceptive state where vibe coding feels productive but hides accumulated tech debt - and break down Anthropic's newly released constitution for Claude. Finally, the team discusses a Reddit user’s claim to have ported CUDA to AMD in 30 minutes and shares a fascinating breakdown of podcast listening data.LinearB: The AI productivity platform for engineering leadersFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:OpenClawSoftware Survival 3.0Breaking the Spell of Vibe CodingClaude's new constitutionClaude Code Has Managed to Port NVIDIA’s CUDA Backend to ROCmMy Top 25 Podcast Episodes & Interviews from 2025 by IPM (Insights Per Minute)OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

If you rely on complex scaffolding to build AI agents you aren't scaling you are coping. Thibault Sottiaux from OpenAI’s Codex team joins us to explain why they are ruthlessly removing the harness to solve for true agentic autonomy. We discuss the bitter lesson of vertical integration, why scalable primitives beat clever tricks, and how the rise of the super bus factor is reshaping engineering careers.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:OpenAI Codex: Learn more about the models powering tools like GitHub Copilot.Codex Open Source Repo: The lightweight coding agent that runs in your terminal (check out the Rust migration mentioned in the episode).Agent Skills Open Standard: The open standard and catalog for giving agents new capabilities.The Bitter Lesson: Richard Sutton’s essay on why compute-centric methods win in AI.Follow Tibo on X @thsottiaux | GitHubOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

With the Ralph loop going mainstream, how are engineering organizations utilizing it at scale? Andrew and Ben sit down with Angie Jones, VP of Engineering AI Tools and Enablement at Block, to pick her brain on how they are using the Ralph Wiggum technique to automate updates across 25,000 repos and how she is strategically preparing for Gas Town. The team also breaks down the launch of OpenAI's new GPT-5.2 Codex model before closing out the week with a look at the weirdest tech from CES, from hypersonic knives to music-playing lollipops.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Angie Jones: angiejones.tech | LinkedIn | X (Twitter)Goose (Block’s AI Agent): github.com/block/gooseSteve Yegge’s "Welcome to Gas Town": Read on MediumGeoffrey Huntley’s Ralph Loop: ghuntley.com/ralphRyan Dahl on the End of Coding: @rough__seaThe Weirdest Tech of CES: Read the ArticleOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Before Backstage became the industry standard for developer portals, Spotify’s engineers relied on spreadsheets to navigate their massive microservices ecosystem.Tyson Singer, Spotify’s Head of Technology and Platforms, joins us to trace the evolution of their internal developer experience from a necessity for order into the open-source giant Backstage and its new SaaS evolution, Portal. We dig into how they use golden paths to align autonomous squads and how their new AI Knowledge Assistant (AiKA) reduced internal support tickets by nearly 50% while protecting developer flow. Finally, Tyson shares his philosophy on sustainable innovation, explaining how to train an engineering organization to run a marathon at a sprinter's pace.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Spotify Engineering Blog: engineering.spotify.comSpotify Portal: backstage.spotify.comConfidence: confidence.spotify.comConnect with Tyson: LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In our first-ever Friday edition, Andrew and Ben dive into the viral "Ralph Loop" phenomenon and discuss how simple bash loops and deterministic context allocation are changing the unit economics of code. They also explore Steve Yegge's chaotic "Gas Town" concept for orchestrating AI agents, debate whether AI is killing the individual contributor role, and share a laugh over a creepy link generator that challenges our trust in URLs. LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Cowork: Claude Code for the rest of your workGas Town Emergency User ManualLoom by Geoffrey HuntleyAI Killed the Individual ContributorCreepyLinkOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Geoffrey Huntley argues that while software development as a profession is effectively dead, software engineering is more alive—and critical—than ever before. In this episode, the creator of the viral "Ralph" agent joins us to explain how simple bash loops and deterministic context allocation are fundamentally changing the unit economics of code. We dive deep into the mechanics of managing "context rot," avoiding "compaction," and why building your own "Gas Town" of autonomous agents is the only way to survive the coming rift.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Geoffrey’s Website & Blog: ghuntley.comBuild Your Own Coding Agent Workshop: ghuntley.com/agent Ralph Wiggum as a Software Engineer: ghuntley.com/ralphSteve Yegge’s "Welcome to Gas Town": Read on MediumThe "Cursed" Programming Language: github.com/ghuntley/cursedOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Capital One operates less like a traditional bank and more like a "technology company that happens to do banking." Ameesh Paleja, EVP of Enterprise Platforms, joins the show to explain how this philosophy empowers their 14,000 technologists to innovate at the speed of a startup despite operating in a highly regulated industry.Watch: 2026 Benchmarks InsightsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Learn more: capitalone.com/techRead the blog: capitalone.com/tech/blog/Connect with Ameesh: LinkedIn | X (Twitter)OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

As the year draws to a close, the Dev Interrupted team reflects on a transformative year in engineering spanning the rise of RAG and vector databases to the emergence of agentic workflows. For the first time, we’re taking the conversation out of the booth and into the IDE. Head over to the Dev Interrupted YouTube channel to watch the team vibe code custom holiday cards and close out the year with some chaotic creativity.Watch Part 2 on the Dev Interrupted YouTube channelFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The common narrative suggests AI will make engineering leadership obsolete, but history - and the Industrial Revolution - suggests the opposite is true. Engineering executive Manoj Mohan joins the show live from ELC to argue that as code generation costs drop, the demand for high-level judgment and strategic oversight will only skyrocket. He breaks down why leaders must stop starting with models and start with customer pain points, utilizing his "3GF" framework to manage the risksLinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Connect with Manoj: LinkedIn | SubstackOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is your engineering team wasting budget and sacrificing latency by pre-computing data that most users never see? Chalk co-founder Elliot Marx joins Andrew Zigler to explain why the future of AI relies on real-time pipelines rather than traditional storage. They dive into solving compute challenges for major fintechs, the value of incrementalism, Elliot’s thoughts on and why strong fundamental problem-solving skills still beat specific language expertise in the age of AI assistants.Join our AI Productivity roundtable: 2026 Benchmarks Insights*This episode was recorded live at the Engineering Leadership Conference.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Elliot Marx: LinkedIn Chalk: Website | Twitter/X | CareersOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

After hitting a low point last year, developer job satisfaction is officially on the rise. Erin Yepis returns to the show to unpack the 2025 Stack Overflow Developer Survey, analyzing how autonomy and compensation are driving this recovery. We also cover the happiness gap between senior and junior engineers, the surprising drop in trust for AI tools, and why vibe coding is failing to catch on with professional engineers.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Read the full report: 2025 Stack Overflow Developer SurveyStack Overflow Blog: Read Erin’s analysis and moreErin Yepis: Connect on LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

When you co-create Kubernetes, you earn the right to have strong opinions on the next platform shift. This week, Ben sits down with Craig McLuckie, Co-founder & CEO of Stacklok, who is advocating for a shift in leadership mindset. He argues we need to move from asking if we can use AI to demanding to know why we can’t. Listen to hear why he believes an "AI maximalist" philosophy is the only way to survive the next cycle.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Connect with Craig McLuckie: LinkedInCheck out Stacklok: Stacklok WebsiteOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan, VP of AI Software at AMD, but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI.LinearB: Your AI productivity journey starts hereFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Follow Anush LinkedIn | XAMD ROCm Software: github.com/ROCmAMD Developer CloudLearn more at: amd.comOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What is "spec-driven development," and why is this structured approach the key to unlocking complex AI projects? We're joined by Amit Patel, Director of Software Development for Kiro at AWS, to explore this methodology. He explains why "vibe coding" in a chat window fails on multi-day initiatives: the AI (and the developer) loses context. Kiro solves this by turning requirements and design into a persistent, structured spec that acts as the agent's long-term memory, enabling it to maintain context and build sophisticated applications.Amit shares the inside story of how his team at AWS built Kiro from scratch in under a year. He reveals their virtuous feedback loop with internal developers testing nightly builds and providing real-time feedback. This rapid iteration, which included six full revs of the spec experience, was so successful that the Kiro team famously "used the tool to build the tool," turning a multi-week feature into a two-day task. LinearB: Your AI productivity journey starts hereFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Learn more and try Kiro: kiro.devJoin the Kiro Community: Kiro Discord Channel OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

AI is forcing engineering leaders to become part-CFO, part-governance expert, and part-business strategist. Are you ready for the shift? We're joined by Lake Dai, a globally recognized AI expert, professor at Carnegie Mellon, and founder of Sancus Ventures, to explore the new operating strategies required in an AI-first era. She explains why AI has evolved from a simple tool to a core business metric that leaders are held accountable for on earnings calls. This new reality introduces massive new compute costs—sometimes 30-50% of OpEx—forcing leaders to adopt the financial foresight of a CFO to forecast and justify spending.Beyond the balance sheet, Lake identifies AI governance as the biggest blind spot for most leaders today, outlining the urgent need for an AI handbook to manage unit, system, and ethical risks. This strategic shift also reshapes the engineering org itself, from managing hybrid teams of humans and agents to the need for new training environments, almost like "AI flight simulators." This episode is an essential briefing on these new complexities, all centered on Lake's most urgent advice: in a world moving this fast, the best strategy is to slow down and focus on the fundamentals.LinearB: Your AI productivity journey starts hereFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Connect with Lake on LinkedInSubscribe to Lake’s Substack: LakeD-AI UnbundledLearn more about: Sancus VenturesOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Forget top-down mandates. How do you foster organic AI adoption on a skeptical, high-performing engineering team? Loic Houssier, Head of Engineering at Superhuman, joins us to share how he did just that. He explains his strategy for overcoming cynicism, which involved leveraging a highly respected internal champion, the Chief Architect, to re-evaluate the tools and prove their potential was no longer just buzz.Discover his team's biggest, unexpected productivity gains: dramatically faster ramp-up times on new codebases and the rapid creation of valuable internal tools, rather than just raw code generation speed. Loic details Superhuman's pragmatic, high-trust approach to measurement, blending qualitative feedback with simple signals like PR labels. He explains how they fostered this adoption with a bottom-up "AI Guild," empowering engineers of all seniorities without a heavy-handed mandate. He also reveals a stunning real-world example where AI turned a potentially days-long compliance task into a 90-minute win. This episode is a practical playbook for building genuine, bottom-up AI adoption.Get the guide: AI productivity guide for engineering leadersFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Connect with Loïc HoussierLearn more about Superhuman: superhuman.comSuperhuman was acquired by Grammarly: Read about the acquisitionReferenced in today's show:Amazon brain drain finally caught up with AWSClaude Skills are awesome, maybe a bigger deal than MCP How to Say NoThe Field Guide to AI SlopOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is your company using AI to trim your budget, or to multiply your team's impact? We're joined by Matt Culver, a senior engineering leader at Super.com, to discuss why the common view of AI as a tool for cost-cutting is a misguided "accounting mindset" that ultimately destroys trust. He argues that leaders should instead see efficiency gains from AI as a powerful opportunity to reinvest in their teams. This conversation reframes the AI debate by urging leaders to look beyond the coding loop to improve the entire product development lifecycle—from ideation to delivery.Matt explains that the key to successful AI adoption is aligning new initiatives with the developer's core incentives: removing friction and enabling the creative flow state that makes their job enjoyable. He provides a human-centric approach for channeling AI's power to solve upstream problems in product planning and market research, rather than just generating more code. Learn how to use AI not as a means to an end, but as a way to empower your developers, generate more value, and build a high-trust engineering culture.Bring AI into your code review process with LinearBFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Super: Super.comConnect with Matt: LinkedIn | matt@super.comReferenced in today's show:A small number of samples can poison LLMs of any sizeRevisiting "Intelligence Drift"AI profiteering is now indistinguishable from trolling The AI water issue is fakeHTML’s Best Kept Secret: The Tag Life in a World of Pervasive Immorality: The Ethics of Being AliveOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

With massive context windows and new agent frameworks, do vector databases still matter? Ram Sriharsha, CTO at Pinecone, joins the conversation to make the definitive case that they're more critical than ever. He explains that at the core of all AI is search, and externalizing this function is non-negotiable for security, auditability, and control.Ram offers a clear starting path for engineering leaders: begin with simple Retrieval-Augmented Generation (RAG) applications, but immediately implement a robust evaluation framework to manage hallucinations and ensure quality. He shares his perspective on the skills that matter most now, arguing that curiosity and the rise of the generalist engineer are critical in an AI-powered world. This episode is a guide to building the AI stack from the ground up, from using AI as a "good junior engineer" for testing to cultivating the engineering mindset of tomorrow.Bring AI into your code review process with LinearBFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Pinecone: pinecone.ioPinecone Tutorials & Blog: Explore guides on RAG, vector databases, and moreConnect with Ram Sriharsha: LinkedInReferenced in today's show:Your New 500K AI Coworkers Just ArrivedHow I influence tech company politics as a staff software engineerCoinbase says 40% of code written by AI, mostly tests and TypescriptCelebrating 1 Trillion Web Pages ArchivedOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Vibe coding is a developer's dream, but in the enterprise, it can be a nightmare of risk and shadow IT. So how do you saddle the 'wild horse' of modern AI development? Dan Fernandez, VP of Product Management, Developer Services at Salesforce, joins the conversation to share the answer: a new category his team is pioneering called Enterprise Vibe Coding. This discussion reveals how to move beyond flashy greenfield AI demos and build for the reality of most enterprises, where the goal is to safely reuse existing systems, not reinvent them from scratch.Dan breaks down the specific guardrails Salesforce has built, from sandboxed environments for safe testing to automated "quality gates" that act as a bouncer for both human and AI-generated code. He shares the powerful lesson that building customer trust through policies like zero data retention is more important than any single feature. He explains why the real work of enterprise AI is more like secure "plumbing"—connecting the hardened systems you already have. This is an essential guide for any leader looking to apply the speed of AI to the complex reality of enterprise software.Get the guide: AI productivity guide for engineering leadersFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Unleash Your Innovation with Agentforce Vibes: Vibe Coding for the EnterpriseLearn more about Salesforce for Developers: developer.salesforce.comSalesforce Extensions for VS Code: VS Code MarketplaceSalesforce Code Builder: Learn more about the zero-install IDEConnect with Dan Fernandez: LinkedInReferenced in today's show:OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The Model Context Protocol (MCP) is evolving beyond local developer experiments and into the secure, remote infrastructure that will power the next generation of the internet. Brendan Irvine-Broque, Director of Product at Cloudflare, joins us to share a roadmap for this future. He explains how Cloudflare's "customer zero" philosophy of dogfooding their own tools provides a unique perspective on what it takes to scale MCP for production.Brendan makes the case for observability as the ideal starting point for enterprises and lays out the vision for MCP's ultimate destination: a universal protocol for agent-to-agent communication. The conversation explores how remote servers can create a decentralized layer for security and user memory, and what the exciting development of MCP UI means for the future of chat-based applications. This is an essential look at the next wave of agentic systems and the infrastructure required to build it.Check out:Watch Closing the AI gap: Surpassing executive expectations for AI productivityFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Cloudflare's work with AI: agents.cloudflare.comRead the latest from Cloudflare: The Cloudflare BlogCloudflare's Unique Primitives Mentioned: Durable ObjectsThe MCP UI Project: MCP UI on GitHub (Project by Ido Salomon)Observability Tools Mentioned: Datadog | HoneycombAI Tools Mentioned: Block/Square's "Goose" | CursorConnect with Brendan Irvine-Broque: X @irvinebroque | LinkedInReferenced in today's show:OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What do you learn after spending 15 years at Apple and demoing your work directly to Steve Jobs? Ken Kocienda, Co-founder of Infactory AI and author of Creative Selection, joins us to share the answer. As a former Principal Engineer at Apple who helped create the iPhone keyboard and autocorrect, Ken discusses his incredible journey from a history major to a key figure in building technology used by billions. He explains his core philosophy of bridging the gap between the liberal arts and technology to create meaningful products, and why he believes AI is the next frontier for this mission. (BTW – we sat down with his co-founder Brooke, so if you like this episode be sure to check that one out!)The conversation dives into his disciplined, spec-driven approach to coding with AI and the power of "extractive AI" to unlock hidden value in data. Ken reveals the crucial lesson he learned from Steve Jobs—that "everything is provisional"—and how his "evolutionary design" process is perfectly suited for today's AI challenges. This episode is a deep dive into the timeless principles of design and a powerful argument for why the best technology is so intuitive, it makes technical literacy irrelevant.Check out:Register now: AI productivity guide for engineering leadersFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Infactory AI: infactory.aiConnect with Ken on LinkedInKen's Book: Creative Selection: Inside Apple's Design Process During the Golden Age of Steve JobsReferenced in today's show:MCP is probably the first protocol iOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What does it take to transform a brilliant AI model from a research paper into a product customers can rely on? We're joined by Elizabeth Lingg, Director of Applied Research at Contextual AI (the team behind RAG), to explore the immense challenge of bridging the gap between the lab and the real world. Drawing on her impressive career at Microsoft, Apple, and in the startup scene, Elizabeth details her journey from academic researcher to an industry leader shipping production AI. Elizabeth shares her expert approach to measuring AI impact, emphasizing the need to correlate "inner loop" metrics like accuracy with "outer loop" metrics like customer satisfaction and the crucial "vibe check." Learn why specialized, grounded AI is essential for the enterprise and how using multiple, diverse metrics is the key to avoiding model bias and sycophancy. She provides a framework for how research and engineering teams can collaborate effectively to turn innovative ideas into robust products. Check out:Register now: Closing the AI gap: Exceeding executive expectations for AI productivityFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Contextual AI: Contextual.ai WebsiteFollow Contextual AI on Social Media: LinkedIn | X (formerly Twitter)Connect with Elizabeth: LinkedInReferenced in today's show:Throwing AI at Developers Won’t Fix Their ProblemsWhy language models hallucinatei ran Claude in a loop for three months, and it created a genz programming language called cursedOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

AI that talks is easy, but AI that acts securely is where everything breaks down. We're joined by Alex Salazar, CEO of Arcade, to confront the massive and often underestimated gap between a flashy AI demo and a production-ready system. Drawing from his team's own pivot from building agents to building the tools that secure them, he explains why a working demo is only 1% of the journey. Alex breaks down the four "demo killers" that cause most agent projects to fail: inconsistency, security flaws, prohibitive costs, and high latency.Alex reveals the counterintuitive solution his team discovered: the key to making non-deterministic AI reliable is to dial up determinism. Learn why giving an AI a constrained set of intention-based tools - like a calculator or a multiple-choice test - dramatically reduces errors and solves critical security challenges that plague open-ended systems. He explains why you can't just wrap existing APIs and must instead build custom, workflow-centric tools for your agents. This is an essential listen for anyone who wants to build AI that doesn't just talk, but acts securely on behalf of your users.Check out:Register now: Closing the AI gap: Exceeding executive expectations for AI productivityFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Arcade: Arcade.devArcade's YouTube Channel: Watch examples and walkthroughs on building agentsConnect with Alex Salazar: LinkedInReferenced in today's show:Google avoids break-up but must share data with rivals Welcoming The Browser Company to Atlassian "~40% of daily code written at Coinbase is AI-generated. I want to get it to >50% by OctobOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

For decades, the command line has been a developer's staple. But what if its future isn't to be a better terminal, but something else entirely? We're joined by Zach Lloyd, co-founder of Warp, to discuss this groundbreaking shift in developer tooling, sharing his bold vision that the future for developers is neither the IDE nor the terminal, but a new kind of platform built for launching and orchestrating AI agents. Zach explains how Warp is re-imagining the command line as the natural entry point for this evolution, transforming it from a place where you type commands to a place where you write prompts to solve complex problems.Zach dives into the new developer workflow, where the focus moves up a layer of abstraction from the minutiae of flags and syntax to higher-level problem-solving and guiding agents. He argues that by being the platform itself—not just an app running within it—a tool like Warp can provide a far richer and more effective user experience than traditional CLI agents. Discover the new skills developers need in this era, from problem decomposition to clearly expressing intent in natural language.Check out:AI code review tools: 2025 evaluation guideFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Try Warp: warp.devWarp's YouTube Channel: Check out Zach's live streams and product videosConnect with Zach: LinkedIn | X (formerly Twitter)Connect with Brooke: LinkedInReferenced in today's show:Team OKRs in ActionIn the Age of AI, some tech leaders think communications degrees may actually be more valuable than computer science degreesOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

First, there was vibe coding. Now, get ready for "vibe entrepreneurship." Andrew McNamara, Director of Applied Machine Learning at Shopify, joins us to explain how his team is making this new era of business a reality. He shares the vision behind Shopify Sidekick, an AI co-founder designed to empower merchants by acting as their on-demand e-commerce expert. Drawing on his 16-year journey building AI assistants, Andrew reveals what it truly takes to create an AI tool that customers can trust with their livelihood.He shares a critical insight from his applied research background: the hardest and most important part of building production-ready AI isn't the model, but the evaluation ("eval") system. Andrew breaks down Shopify's innovative approach of using an LLM-as-a-judge to measure how well they're fulfilling user goals, not just executing features. This conversation is a definitive guide to creating high-trust AI systems and offers a powerful glimpse into the future of commerce.Check out:Register now: Closing the AI gap: Exceeding executive expectations for AI productivityFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Follow Andrew on XFollow Andrew on LinkedInAndrew's Talk at ICMLLearn more about Shopify SidekickFollow Fatima on LinkedInReferenced in today's show:The Economics of Software Innovation“AI First” and the Bus Factor of 0GitLab 18.3 released with Duo Agent Platform in Visual Studio (Beta) and Embedded viewsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The single biggest predictor of success with AI isn't the model you choose, it's the DevOps culture you've already built. Martin Woodward, VP of Developer Relations at GitHub - and the sixth person to ever use Copilot - joins us to explain why this surprising insight is key to the new era of autonomous coding agents. He traces the evolution of GitHub Copilot from a simple autocomplete to a powerful agent that opens its own pull requests, arguing that AI's true power is as a massive accelerant for the iterative loops high-performing teams have already perfected.Martin explains that teams with strong guardrails for shipping quickly and safely are best equipped to leverage this AI revolution because they can trust the accelerated output. He also reveals how top teams use the key technique of custom instructions to guide Copilot toward writing the code of the future, not just mimicking the code of the past. This conversation uncovers how new agentic workflows are 'tricking' developers into improving their communication and documentation skills, providing a crucial look at the cultural foundations required to thrive in the AI-accelerated enterprise.Check out:AI code review tools: 2025 evaluation guideFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Martin's GitHub Galaxy Keynote: Watch "The AI-Accelerated Enterprise”GitHub Copilot:  Learn more about the tools and featuresGitHub Universe Conference: Look out for announcements for the upcoming conferenceConnect with Martin:  Martin's Social Media Hub (Martin.Social)Connect with Erika on LinkedIn Referenced in today's show:GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What's the hardest habit for a top engineer to unlearn in a leadership role? For Minh Nguyen, VP of Engineering at Transcend, it was breaking the "I'll do it myself" mentality. In this episode, she shares her impressive journey from individual contributor to VP at the same high-growth startup, offering a rare and honest look at this challenging transition. Drawing on her background in philosophy, Minh details the hard-won lessons of reorienting from hands-on coding to high-impact leadership, from learning to delegate to setting a clear, communicable strategy.The conversation then shifts from personal growth to organizational design. Minh dives into the practicalities of scaling, revealing why Transcend structures teams around customer problems instead of technical stacks. She candidly discusses her experience pivoting away from a "catchall" platform team to a more effective, product-focused model. This episode is a deep dive for any leader on building a resilient, high-fidelity engineering culture that thrives under pressure, packed with invaluable insights for navigating the challenges of growth.Check out:The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest(s):Connect with Minh Nguyen on LinkedInLearn more about Transcend: Transcend.ioConnect with Jennifer Riggins on LinkedInReferenced in today's show:This Start-Up’s $20 Billion Sale Died. It Came Fighting Back.OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The rise of AI agents is more than a tooling upgrade - it's a fundamental rewiring of the entire developer experience, with your APIs at the very center. We're joined by Matt DeBergalis, co-founder and then-CTO-now-CEO (congrats Matt!) of Apollo GraphQL, to explore this massive transformation. He introduces the emerging concept of "agent experience," explaining why systems built for human developers are not ready for the unprecedented scale of AI calling APIs.Matt argues that as the old rules of software development get re-evaluated, engineering leaders must rethink their entire stack. He presents a powerful analogy: a structured data layer like a graph is the perfect "left brain" for the "right brain" creativity of LLMs. This provides the semantic precision and guardrails needed for AI to act reliably, enabling a future where user experiences are personalized "to 11" and APIs become the core business asset. This conversation is a crucial guide for leaders on how to prepare by prioritizing higher-level system design, and why clear communication and architecture are becoming far more critical than handwriting code.Check out:The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest(s):Explore Apollo GraphQL's graph infrastructure and MCP tooling: ApolloDevConnect with Matt on LinkedInConnect with Andrew Boyagi on LinkedInReferenced in today's show:Anthropic caps Claude Code usageOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Your AI is learning to lie to you. It's not malicious—it's just trying to be a people-pleaser. This dangerous phenomenon, known as AI sycophancy, is what happens when we train models with outdated incentives.Dr. Tatyana Mamut, an anthropologist, economist, and the CEO of Wayfound, joins us to explain why treating AI like traditional software is a critical mistake. She provides a revolutionary playbook for building AI you can actually trust, starting with how to manage AI agents like employees with clear roles, goals, and performance reviews. She then introduces the radical solution of an "AI supervisor"—an AI that manages other agents to ensure accountability. This all builds toward her vision for the "multi-sapiens workforce," where humans and AI collaborate to build the companies of tomorrow.This is an essential guide for any leader aiming to build the culture and systems necessary to manage AI effectively.Check out:Workshop: The AI upgrade to your SDLCThe DevEx guide to AI-driven software developmentFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Connect with Dr. Tatyana Mamut on LinkedInFollow the latest from Wayfound on LinkedInConnect with Kelly Vaughn on LinkedInKelly's Connect with MeAndrew's Connect with MeReferenced in today's show:OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is your team's AI strategy tailored for a fast-moving startup or a high-stakes enterprise? The answer could determine your success or failure. We're rejoined by Itamar Friedman, co-founder and CEO of Qodo, to break down what separates engineering teams that truly thrive with AI from those that are just experimenting, explaining why the path to success is fundamentally different for a startup that needs speed versus a large enterprise that must untangle bottlenecks.Itamar reveals his vision for the evolution from "vibe coding" to a more mature "grounded coding" that relies on structured workflows and rich, automated context. He also points to the trend of dev platform teams as the future "agent keepers" who will own the holistic and safe implementation of AI. Itamar provides an actionable playbook for leaders: map your current processes, identify your biggest bottleneck, and find a specialized AI tool for that specific problem.Check out:The DevEx guide to AI-driven software developmentWorkshop: The AI upgrade to your SDLCFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Qodo qodo.aiConnect with Itamar Friedman on LinkedInFollow AI thought leader Andrej KarpathyReferenced in today's show:Announcing the real next chapter of WindsurfI still care about OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is your engineering team shipping more code but creating less business impact?We're joined by Chris Westerhold, Global Practice Director at ThoughtWorks, to confront why engineering waste is so difficult to define and eliminate. He explains that for many teams, the issue isn't a lack of tools but a lack of a clear 'North Star' to align their efforts with real business goals, diving into why so much well-intentioned work results in wasted effort and increased friction.Chris argues that most efficiency problems are rooted in people and processes, not technology, and why a 'systems thinking' approach is crucial for real improvement. He shares insights on balancing developer freedom with platform standardization and the leadership required to build a culture of continuous improvement. Learn why focusing on better outcomes—not just more code—is the key to unlocking your team's true potential.Check out:The DevEx guide to AI-driven software developmentWorkshop: The AI upgrade to your SDLCFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):LinkedIn: Chris WesterholdLearn more at ThoughtWorks.comReferenced in today's show:Atlassian research: AI adoption is rising, but friction persistsThe New Skill in AI is Not Prompting, It's Context EngineeringIntroducing pay per crawl: enabling content owners to charge AI crawlers for access OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

You've bought the AI tools, but are you seeing the promised productivity gains? Join Dev Interrupted hosts Dan Lines and Ben Lloyd Pearson, as they break down the fundamental shift from AI coding assistants to intelligent, agentic systems. They discuss the key findings from their new guide, "The Six Trends Shaping the Future of AI-Driven Development," and challenge the common misconception that simply buying tools guarantees success by explaining why sustainable AI transformation depends less on better prompting and more on building better systems.Dan and Ben reveal the foundational pillars required for AI adoption, from creating unified knowledge sources to modernizing your infrastructure for agentic workflows. Learn why the future lies in moving from isolated tools to fully orchestrated systems where AI agents can reason and operate across the entire software delivery lifecycle. This episode offers a strategic playbook for engineering leaders aiming to build a successful and sustainable AI strategy for 2025 and beyond.Check out:Download: The 6 trends shaping the future of AI-driven development Workshop: The AI upgrade to your SDLCFollow the hosts:Follow BenFollow AndrewFollow DanReferenced in today's show:The Engineering Leadership Report 2025MCP: An (Accidentally) Universal Plugin SystemOpenAI Leadership Responds to Meta Offers: ‘Someone Has Broken Into Our Home’Grammarly to acquire email startup Superhuman in AI platform pushOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

If you're still building products only for humans, you're already missing out on a massive new customer base: AI agents. Joining Dev Interrupted is Andrew Hamilton, co-founder and CTO of Layer (a first-of-it’s kind MCP agency) to unravel this monumental shift in how products will be discovered and consumed. He dives into how AI agents are rapidly evolving from developer tools to direct consumers of APIs and products, with new standards like the MCP spearheading this transformation by effectively creating an "app store for LLMs." This evolution demands a complete rethink of product design, packaging, and user experience for an entirely new kind of user.Andrew educates us about how successfully leveraging MCP isn't about a simple one-to-one API mapping, but about thoughtfully designing an "agent experience" based on key user workflows and providing pre-packaged capabilities. He shares insights on identifying good MCP candidates, the importance of experimentation in this fast-moving space, and how tools like Layer are defining the frontier of agent-accessible tooling.Check out:The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest(s):LinkedIn: Andrew HamiltonLearn more about Layer: buildwithlayer.comReferenced in today's show:Google Cloud donates A2A to Linux FoundationGemini CLI: your open-source AI agent OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What if creating a professional video for your business was as simple as a single click?We're joined by Kabir Bedi, Head of Product for Image and Video Generation at Amazon Ads, to discuss how generative AI is making that a reality. He provides an inside look at Amazon's mission to democratize video advertising, empowering everyone from mom-and-pop shops to large enterprises with their innovative video generator that evolved from simply showing products to showcasing them in realistic, multi-scene lifestyle settings.Kabir shares key insights into the engineering culture that powers this innovation, built on deep customer obsession and a dynamic, experimental mindset. He explains why bringing the entire team—including engineers and scientists—into direct conversations with users was a game-changer for their development process. Plus, listen as Kabir explains why a "learn and be curious" mindset is the key to thriving in this new landscape of AI-driven product development.Check out:The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest(s):Follow Kabir on LinkedInLearn more on the About Amazon Blog and the Amazon Ads BlogReferenced in today's show:Meta's $100M poaching project“Real strength is not in poaching rather it’s in growing, retaining and respecting the people you already have.” -OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What if the traditional engineering career path is being fundamentally rewritten by AI? We're joined by Philipp Schmid, Senior AI Developer Relations Engineer at Google DeepMind, to explore how artificial intelligence is not just a tool, but a force reshaping engineering roles, team dynamics, and the foundational methods of skill development. Philipp, with his background at Hugging Face and now at the cutting edge with Google DeepMind, offers a unique perspective on the rise of AI-native teams and engineers who learn faster, work more broadly, and drive innovation at an unprecedented scale.Philipp offers an inside look at Google DeepMind's engine of AI innovation and breaks down the key differences between Google's flagship Gemini models and the versatile Gemma family of open models, detailing their distinct purposes.We also touch upon exciting takeaways from the recent Google I/O event, including powerful new on-device capabilities and the mind-blowing text-to-video generation with Veo.Finally, Philipp shares practical advice for engineers and their organizations on navigating this AI-driven landscape, emphasizing continuous learning, an adaptable mindset, and how to effectively leverage a diverse AI toolkit to thrive.Check out:Download: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest:Twitter: @philschmidLinkedInGitHub (philschmid)Learn more about Google DeepMind's models: Google AI StudioReferenced in today's show:OpenAI's latest partner: Mattel | LinkedIn I Read All Of Cloudflare's Claude-Generated Commits AI coding assistanOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Imagine saving as much as 75 days of work within a six-month period, all through intelligent automation.Building on last week’s discussion about the critical shift from passive metrics to active productivity, host Ben Lloyd Pearson and LinearB co-founder Dan Lines now look forward to realities like this: 19% cycle time reduction and reclaiming significant engineering time. They move beyond common narratives surrounding AI to present actionable success stories and strategic approaches for engineering leaders seeking tangible results from their AI initiatives. This concluding episode tackles how to safely and effectively adopt AI across your software development lifecycle. Dan explains the necessity of programmatic rules and control, detailing how LinearB's gitStream technology empowers teams to define precisely when, where, and for whom AI operates. This ranges from AI-assisted code reviews with human oversight for critical services, to enabling senior developers to make judgment calls, and even automating merges for low-risk changes. Ben and Dan also explore the exciting future of agentic AI workflows, where AI agents could manage tasks from design and Jira story creation to coding and deployment, making developer control even more critical. Check out:The DevEx guide to AI-driven software developmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewReferenced in today's show:The Pentagon launched a military-grade Y Combinator, signaling that defense tech is officially cool on college campusesJapan Post launches 'digital address' sysOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Are your teams feeling the intense pressure to "produce more" in an era increasingly dominated by AI?Join hosts Ben Lloyd Pearson and Dan Lines as they unpack a major shift in how engineering organizations must now approach productivity. Dan reveals the urgent challenges he hears directly from CTOs and VPs, who are grappling with how to define their AI strategy for genuine productivity gain, accurately measure its true impact, and understand the resulting implications for their workforce.In this episode, Ben and Dan explore why traditional software engineering intelligence (simply having metrics and information) is no longer sufficient in 2025. Together, they explore productivity's nuanced meaning and discover how organizations can shift from passive data observation to an active improvement mindset, and get a look at what defines a developer productivity insights platform.Check out:Register for Beyond Copilot: What’s Next for AI in Software DevelopmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewReferenced in today's show:Why Your AI Coding Assistant Keeps Doing It Wrong, and How To Fix ItAs a developer, my most important tools are a pen and a notebookThe problem with shadow developmentOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What can ancient languages and epic poems teach us about building resilient tech and future-proof teams?Host Andrew Zigler welcomes Matt Greenwood, Chief Innovation Officer of Two Sigma, for a conversation that uniquely blends their shared background in classical languages with over two decades of Matt’s experience at the forefront of financial technology. Matt unveils how this classical training has profoundly shaped his approach to building enduring innovation, fostering a resilient company culture, and leading with empathy.Matt explains his vision for building and evolving innovation via platforms, alongside his strategies for effective goal-setting and fostering deep conceptual understanding in his team. He offers invaluable lessons on the importance of forgiving the decisions of our past selves, adapting processes for evolving needs, and thoughtfully engaging with AI to augment human creativity. This conversation is a masterclass in strategic foresight, cultivating a constant hunger for learning, and building an adaptable organization ready for whatever the future holds.Check out:Beyond Copilot: What’s Next for AI in Software DevelopmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Website: twosigma.comLinkedIn: Matt GreenwoodReferenced in today's show:Google I/OMicrosoft BuildCode with ClaudeJava at 30: The Genius Behind the Code That Changed TechOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What happens when the person trained to spot burnout becomes its next victim?Kelly Vaughn is a Senior Engineering Manager at Zapier, the author of the After Burnout Substack, and a trained therapist. She joins hosts Ben and Andrew to share her incredibly candid journey of discovering burnout in herself. Kelly reveals how she (despite her professional understanding of burnout's mechanisms) found herself deep in its grip, recounting the slow realizations like dwindling passion, increasing cynicism, and distinct physical tolls like disrupted sleep and a loss of hunger cues.This raw conversation offers vital lessons for anyone in a high-pressure career (and let’s face it: that’s all of us!). As the tech landscape accelerates with AI, Kelly shares insights on managing its pressures and opportunities. She redefines ambitions for herself alongside the non-negotiables she established for her own well-being when seeking her new role. Listeners will gain powerful insights into identifying their own limits, the courage for pivotal changes, and integrating new demands without self-sacrifice.Check out:AI Code Reviews: Automate AI code reviews for every PRSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Personal Website: kvlly.com"After Burnout" Newsletter: afterburnout.co"The Modern Leader" Newsletter: modernleader.isKelly’s Article: On burnout, quitting, and redefining what mattersReferenced in today's show:The FAA has resorted to buying partOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Still stuck in a reactive loop with incident response, only fixing problems after they happen? JJ Tang, Co-founder and CEO of Rootly, joins host Andrew Zigler to reveal how to shift beyond reactive, leveraging powerful AI and an often-underestimated skill in engineering: genuine customer empathy. Discover how these elements are crucial for navigating the complexities of modern infrastructure and shaping the future of incident management.JJ explores the forefront of incident response automation, discussing how to integrate shiny new tech like AI safely and why deep customer understanding is key to building trust and reliability. Learn about the common pitfalls leaders face, the cultural shifts needed for proactive reliability, and how teams can make our digital world safer.Check out:Beyond Copilot: What’s Next for AI in Software DevelopmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):LinkedIn: JJ TangWebsite: rootly.comReferenced in today's show:OpenAI agrees to buy Windsurf for about $3 billion, Bloomberg News reportsAmazon launches first Kuiper internet satellites, taking on StarlinkAvoiding Skill Atrophy in the Age of AIWhy developers and their bosses disagree over generative AIOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is front-end vs. back-end an antiquated way to structure engineering teams? With AI augmenting skills, a new model is emerging: the product engineer.This week, Andrew sits down with Lee Robinson, VP of Product at Vercel to crack open the future of the web. As a respected educator and voice in the webdev community (check out his YouTube!), Lee shares his unique perspective on building both cutting-edge tools and high-performing teams.As the VP of Product, Lee charts the evolution of developer roles and illustrates for us the rise of "product engineers" who own features end-to-end. Learn how AI tools are not just augmenting specialists but enabling designers, PMs, and founders to build "personal software." We also cover changing team dynamics and get Lee's advice on navigating the hiring process in the AI era, including: why personalization is key for candidates, how managers can spot authenticity (hint: AI-generated cover letters are obvious!), and why building in public is critical for career growth today.Check out:Beyond Copilot: What’s Next for AI in Software DevelopmentSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Website: leerob.comYouTube: @leerobLinkedIn: Lee RobinsonVercel: vercel.comNext.js: nextjs.orgv0 by Vercel: v0.dev Referenced in today's show:This week in social, we noticed: AIOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

We've spent decades teaching ourselves to communicate with computers via text and clicks. Now, computers are learning to perceive the world like us: through sight and sound. What happens when software needs to sense, interpret, and act in real-time using voice and vision?This week, Andrew sits down with Russ d'Sa, Co-founder and CEO of LiveKit, whose technology acts as the crucial infrastructure enabling machines to interact using real-time voice and vision, impacting everything from ChatGPT to critical 911 responses.Explore the transition from text-based protocols to rich, real-time data streams. Russ discusses LiveKit's role in this evolution, the profound implications of AI gaining sensory input, the trajectory from co-pilots to agents, and the unique hurdles engineers face when building for a world beyond simple text transfers.Check out:AI Code Reviews: An Engineering Leader’s Survival GuideSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Website: livekit.ioGitHub: github.com/livekitX: x.com/livekitRuss: x.com/dsaReferenced in today's show:The Rise of Slopsquatting: How AI Hallucinations Are Fueling a New Class of Supply Chain AttacksHas the VSCode C/C++ Extension been blocked?OpenAI tells judge it would buy Chrome from GoogleChain-of-Vibes | Pete Hodgson Seattle crosswalk signals with deepfake Bezos audio may have been hacked with just a cellphone OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Think building killer APIs like Stripe or Twilio is purely a technical feat? Think again.This week, we dive into why crafting successful APIs is fundamentally an organizational challenge, demanding internal excellence long before code is deployed. Sagar Batchu, co-founder and CEO of Speakeasy, joins us to unpack the crucial role of ownership, design principles, and why even internal APIs benefit from treating them like first-class products. Discover how Conway's Law dictates your API's fate and why achieving that coveted developer experience starts with your company's structure.Getting these foundations right is more critical than ever, as the landscape now faces a dramatic shift with the rise of LLMs and agentic AI. This potentially multiplies API usage and introduces the concept of "Agent Experience" (AX), demanding even greater rigor around clear standards, documentation, and metrics like "Time to First 200." Sagar also explores the emerging Model Context Protocol (MCP) and explains why focusing on developer productivity today prepares you for the AI-driven future of tomorrow.Check out:AI Features Demo: The Future of Productivity Is AI-DrivenSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Website: speakeasy.comLinkedIn: SpeakeasyX: @speakeasydevReferenced in today's show:It costs nothing to be polite unless you're talking to ChatGPT - then it costs tens of millionsAnnouncing the Agent2Agent Protocol (A2A) - Google Developers Blog A DeeOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

When it comes to securing software, most developers feel like they're playing catch-up instead of setting the rules.Tanya Janca (SheHacksPurple), author of "Alice and Bob Learn Secure Coding," brings her 28 years of IT and security expertise—spanning counter-terrorism to enterprise training—to Dev Interrupted. She unpacks the common pitfalls teams face when security is treated as an afterthought, highlighting the developer frustration of being held accountable for security without the tools or knowledge needed to succeed.Explore how transforming security from a final gate into an ongoing practice saves money, reduces conflict, and builds better software through clear requirements and true developer empowerment. Tanya provides concrete advice for developers and leaders on creating internal knowledge libraries, fostering continuous learning habits, and critically evaluating AI-generated code to ensure it meets security standards. Speaking of AI's growing role, we're curious how it's reshaping workflows across the industry. Share your own experiences with AI adoption by taking our quick survey to discover your spot on the adoption graph (and what you can do to level up).Check out:Beyond Copilot: Gaining the AI AdvantageSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Website: SheHacksPurpleLinkedIn: Tanya JancaBook: Alice and Bob Learn Secure CodingReferenced in today's show:Shopify CEO says staffers need to prove jobs can’t be done by AI before asking for more headcountAnthropic flips the script on AI in educaOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is your company rushing headlong into AI, only to find it's a 'square peg in a round hole'?This week, Andrew tackles the critical issue of building trust in AI systems with Brooke Hartley Moy, CEO and co-founder of Infactory.Brooke, with her experience at companies like Google and Samsung, cuts through the hype and reveals the biggest misconceptions businesses have about AI. We dive into the 'black box' problem, the importance of high-quality data, and why not all AI is created equal.From seating Matthew McConaughey in the rain to high-stakes medical decisions, we explore the crucial role of domain expertise and the need to move beyond LLM-centric thinking. If you're an engineering leader grappling with AI implementation, this episode is your essential guide to building trustworthy and impactful AI systems.Check out:The Future of Productivity Is AI-DrivenFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):infactory.aiBrooke Hartley MoyReferenced in today's show:OpenAI declares AI race “over” if training on copyrighted works isn’t fair useExploring Generative AI - Birgitta BöckelerAI is "tearing apart" companies, survey findsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

AI is evolving at a breakneck speed, leaving engineering leaders with a critical dilemma: innovate or fall behind. But how do you experiment with AI without risking your credibility? Andrew Zigler sits down with Adnan Ijaz, Director of Product Management for Next Gen Developer Experience at AWS, to unpack the power of AI agents. Together they discuss how to leverage autonomous AI in your development workflow, and learn from real-world examples like Amazon Q.Dive into the evolving role of the developer and discover how to mentor your AI, not just use it. It's time to shift from task-oriented coding to strategic architecture, and this episode shows you how.But first, co-host Dan Lines frames the conversation by discussing the shift towards measuring the concrete benefits of AI tools in development, rather than just their potential. Dan also provides examples of how to set realistic expectations for AI implementation by focusing on specific tasks and measuring both individual and workflow improvements, highlighting the need for overall workflow optimization.Check out:Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Adnan IjazAmazon Q DeveloperOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Imagine a world where your engineering team ships features at lightning speed, and they're genuinely happy doing it. Sounds like a fantasy? It doesn't have to be. This week, we're diving into the secrets of building high-performing, happy engineering teams with Thanos Diacakis, a fractional CTO and engineering coach with over 25 years of experience spanning companies like Uber, where he optimizes software engineering teams and drives technical innovation.Thanos reveals the common mental models that hold teams back, why 'technical debt' is a myth, and how to break free from the 'feature factory' mindset. Together, he and Andrew explore practical strategies for achieving engineering excellence, from mastering iterations to managing complexity, and discover how to build a culture where velocity and happiness go hand in hand. Check out:Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Thanos Diacakiswww.cosmicteacups.comReferenced in today's show:FOSS infrastructure is under attack by AI companiesProgramming is dying. Software development is booming.1 in 3 Americans say they have layoff anxietyOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The promise of Test Driven Development (or TDD) remains unfulfilled. Like many other forms of aspirational development, the practice has fallen victim to countless buzzword cycles. What if the answer is already in our toolbox?This week, host Andrew Zigler sits down with Animesh Mishra, Senior Solutions Engineer at Diffblue, to unpack the gap between TDD's theoretical appeal and its practical challenges. Animesh draws from his extensive experience to explain how deterministic AI can address the key challenges of building trust in AI for testing. These aren’t LLMs of today, but foundational machine learning models that can evaluate all possible branches of a piece of code to write test coverage for it. Imagine writing two years worth of tests for a legacy codebase… in two hours… with no errors!If you enjoyed this conversation about the gaps between theory and execution in engineering culture, be sure to check out last week's chat with David Mytton about shift left adoption by engineering teams.Check out:Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):www.diffblue.comX: diffbluehqLinkedIn: DiffblueAnimesh MishraOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

If you're tired of hearing "shift left" in DevSecOps and seeing little real change, you're not alone.In this episode, David Mytton (CEO of ArcJet, founder of Console.dev) breaks down why traditional approaches to developer security often fail. He reveals the core conflict between developers (who want to build fast) and security teams (who want to mitigate risk), and explains why this misalignment of incentives can be detrimental for your software. Learn why simply handing devs more security tools isn't enough.David shares his insights from years of experience reviewing developer tools and building security products. He discusses the importance of developer-centric design, the power of the right incentives, and the need for security solutions that seamlessly integrate into the developer workflow. Plus, he reveals the secrets to successful developer marketing and why traditional approaches often backfire.Tune in to discover how to foster a security-conscious culture within your engineering team, without stifling innovation or creating unnecessary friction. Learn how to empower developers to build secure software by design, and discover the tools and strategies that are shaping the future of DevSecOps.Check out:Translating DevEx to the Board Beyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):console.devarcjet.comOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, Andrew Zigler sits down with Dr. Maryam Ashoori, Senior Director of Product Management for watsonx at IBM. Together they discuss the evolving AI stack for enterprise and the growing skill gap challenging developers. Dr. Ashoori shares insights from a recent survey of 1,000 developers, highlighting the need for better tools and strategies to manage the growing AI tool sprawl.The conversation also explores the rise of AI agents, the potential of no-code AI development, and the future of software engineering in an AI-powered world.But first, co-host Dan Lines (COO of LinearB) sets the stakes for engineering leaders everywhere: the future of technical work will evolve with agentic capabilities. Must we all become “AI managers” now?Check out:2025 Software Engineering Benchmarks ReportBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Maryam Ashooriwatsonx.aiOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, Ben and Andrew dive into the (surprisingly?) complex world of calculator apps, analyze how AI is revolutionizing the technical interview, and dissect the emerging “two-tier” economy around AI. What side of the curve does your org fall on?Then, the conversation goes on site to San Francisco, where host Dan Lines hosts Rob Zuber (CTO, CircleCI) and Tara Hernandez (VP of Dev Productivity at MongoDB) for a discussion of LinearB's 2025 Software Engineering Benchmarks Report.We unpack the report's surprising findings on the PR lifecycle, project management hygiene, DORA metrics, code quality, and predictability, with key takeaways for optimizing your engineering team's performance.Be sure to grab your copy of the report to follow along with Dan, Rob & Tara.Check out:2025 Software Engineering Benchmarks ReportBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Rob ZuberTara HernandezReferenced in today's show:"A calculator app? Anyone could make that."‘Two-tier’ AI economy is emerging between startups and corporations, with large organizations falling behind, AWS EMEA chief saysAI Killed The Tech Interview. Now What? | Kane Narraway New Junior Developers Can’t Actually CodeOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Ben and Andrew open the show by dissecting why AI can't see gorillas, how big banks are stepping up to attract tech talent, and why focus is becoming the must-have resource for devs.Then, Vikram Chatterji, co-founder and CEO of Galileo, joins Andrew for a discussion on how engineering leaders can future-proof their AI strategy and navigate an emerging dilemma: the pressure to adopt AI to stay competitive, while justifying AI spend and avoiding risky investments.To accomplish this, Vikram emphasizes the importance of establishing clear evaluation frameworks, prioritizing AI use cases based on business needs and understanding your company's unique cultural context when deploying AI.Check out:8 Habits of Highly Productive Engineering TeamsBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamBook a demoFollow the hosts:Follow BenFollow AndrewFollow today's guest:Vikram ChatterjiReferenced in today's show:Your AI can’t see gorillasHow banks caught up in the battle for developer talentThe skill of the future is not 'AI', but 'Focus'OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Live from San Francisco, Dev Interrupted explores the future of developer productivity with Ori Keren (CEO, LinearB) and Dharmesh Thakker (General Partner, Battery Ventures). The conversation, recorded before a live audience in San Francisco, examines the exciting possibilities and potential challenges of AI-powered tools, from code completion and review to the more advanced agentic AI.  Moderated by Ben Lloyd Pearson, this episode captures the excitement of the event, including audience Q&A and feedback. Ori and Dharmesh share their insights on how these trends will shape the future of software development over the next 12 to 24 months, offering predictions and practical advice for engineering teams and leaders. Discover how these shifts will impact your work and the broader tech industry.Check out:8 Habits of Highly Productive Engineering TeamsBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamBook a demoFollow the hosts:Follow BenFollow AndrewFollow today's guest:Follow Dharmesh ThakkerReferenced in today's show:OpenAI CEO Sam Altman Says They've 'Been on the Wrong Side of HistorySoftware development topics I've changed my mind on after 10 years in the industryChat is a bad UI pattern for development toolsNASA is going to do a Twitch stream from the ISSOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

To open the show, Ben and Andrew dive into the latest headlines about DeepSeek from last week. We answer questions like “why did everyone search ‘Jevons paradox'?” and discuss strategic AI investments from financial giants like Goldman Sachs. These moves underscore the growing importance of strong engineering leadership in the age of AI.Then, Luca Rossi of Refactoring joins us to discuss his latest research. Drawing from a comprehensive survey of engineering professionals (thanks to you!), Luca breaks down the key traits and practices of successful engineering teams, revealing surprising correlations between team happiness, shipping frequency, and recognition by non-technical leadership.Be sure to grab your copy of the report to follow along with today’s insights.Show Notes:Dev Interrupted SurveyBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamBook a demoFollow the hosts:Follow BenFollow AndrewFollow today's guest:Follow LucaReferenced in today's show:IBM cashing in on AIAI Stocks: How DeepSeek Changed Views On U.S.-China Artificial Intelligence Competition | Investor's Business DailyWilliam Stanley JevonsGoldman Sachs hires Amazon exec in senior AI engineering role | ReutersOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Ben and Andrew open the show by discussing the emergence of the DeepSeek AI model, Google's shakeup of the SEO landscape, and speculate on whether or not we're seeing the death of free APIs.Then, Ben sits down with Bernd Ruecker, Co-Founder and Chief Technologist at Camunda, to explore how low code solutions are changing the game for developers. They discuss how these tools allow developers to focus on more complex challenges, and delve into the importance of understanding when to leverage low code versus custom solutions, and the evolving role of developers in a world increasingly driven by automation.Finally, do us a favor and fill out the Dev Interrupted listener survey! You'll be our best friend forever :-)Show Notes:Dev Interrupted SurveyBeyond the DORA Frameworks Workshop (Jan. 29, 30)Follow BenFollow AndrewFollow BerndLearn more at: camunda.comCamundacon 2025OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Want to ship better software? Get in the fast lane.This week, hosts Ben Lloyd Pearson and Andrew Ziegler open the episode with a discussion of some of the tech topics dominating the news cycle like Microsoft's restructuring to focus on AI, a potential TikTok ban in the U.S. and a status check on New Year's resolutions. Then, joined by Dan Lines, they shift their focus to the 2025 Engineering Benchmarks Report by LinearB. This in-depth conversation explores the crucial link between developer experience and productivity, the impact of project management hygiene on development, and new metrics like PR maturity and project traceability.Within this data-driven discussion, uncover key insights on how smaller PRs boost velocity and quality, the connection between longer cycle times and increased change failure rates, and the ideal investment profiles for engineering teams.Show Notes:Beyond the DORA Frameworks Workshop (Jan. 29, 30)2025 Engineering BenchmarksWatch Rob Zuber (CircleCI) & Tara Hernandez (MongoDB) explore insights from the 2025 Engineering Benchmarks ReportFollow BenFollow AndrewOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is your company relying on surveys alone to bridge the gap between developers and managers?  In this episode of Dev Interrupted, host Ben Lloyd Pearson and Dan Lines, COO of LinearB, dive into the perceived misalignment between engineers and their leaders on improving developer experience. Together, they emphasize the importance of data-driven insights over relying solely on surveys, highlighting how quantifiable metrics can illuminate issues like technical debt and build times.  The conversation also touches on the power of setting clear, company-wide goals to boost developer experience and productivity.Next, Conor Bronsdon, in his final episode as host, sits down with Andrew Boyagi, Atlassian's head of DevOps Evangelism. Andrew brings a wealth of knowledge on developer experience, emphasizing the need for transparency, the nuances of measuring productivity, and the crucial role of company culture in aligning development teams with business goals.Show Notes:Beyond the DORA Frameworks Workshop (Jan. 29, 30)2025 Engineering BenchmarksFollow BenFollow ConorFollow AtlassianOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

How do you build a culture that balances operational excellence with developer happiness? By shifting from firefighting to foresight.Kick off Season 5 of Dev Interrupted with hosts Ben Lloyd Pearson, Andrew Zigler, and Dan Lines as they share their New Year's resolutions and welcome Sowmya Subramanian, whose leadership journey spans Google, YouTube, and Oracle, to the show. From redefining metrics like DORA to adapting processes like Fix-It Weeks, Soumya discusses dismantling the “hero” mindset that rewards firefighting, aligning engineering with business priorities, and creating rituals that scale teams without sacrificing creativity.Tune in to learn how Sowmya’s holistic approach to metrics, culture, and tooling creates resilient teams and products that scale without breaking a sweat.Show Notes:Beyond the DORA Frameworks Workshop (Jan. 29, 30)2025 Engineering BenchmarksFollow SowmyaFollow BenFollow AndrewOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It's the end of an era on Dev Interrupted as we say farewell to host Conor Bronsdon and welcome a fresh voice, Andrew Zigler!Join us for a nostalgic trip down memory lane as Conor revisits his favorite interviews and moments from Season 4 and beyond, including discussions on chaos engineering, technical debt, and the human side of managing software engineers. He shares memorable stories from guests like Charity Majors, Rob Zuber, Kelly Vaughn, and many more, while reflecting on the evolution of Dev Interrupted and its impact on the engineering leadership community.But it’s not all bittersweet. Get an exclusive sneak peek at the exciting changes coming to Dev Interrupted in 2025. Expect the show to double down on research and data, explore new formats, and even hit the road with live events. Plus, the Dev Interrupted Substack will feature more frequent newsletters, unique analysis of research white papers, and insights from guest writers. You don’t want to miss this special episode filled with laughter, reflection, and a surprise holiday-themed game of Would You Rather. The team is taking off the holidays but we’ll see you back here on January 7th for the start of Season 5!Show Notes:2025 Engineering Benchmarks Insights WebinarKeep up with Conor: SubstackListen to Conor at: Chain of Thought PodcastOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

2025 will test every assumption about how engineering teams work.With the new year fast approaching Ori Keren, CEO of LinearB, has some bold predictions that might surprise you, like why developer productivity could actually go down in 2025.Yep, you read that right.As AI tools flood the market, we might see a dip in both productivity and creativity before the long-term benefits kick in. It’s a wake-up call for engineering leaders to rethink how they lead their teams.Ori dives into the trends that’ll dominate:- AI’s rise- The ever-growing need for cybersecurity- Why DevEx and developer productivity are heading for a showdownHis advice? Stop flying blind. “You can’t optimize what you don’t measure,” he says.If you’re leading an engineering org, this episode is your 2025 game plan: a mix of data-driven decision-making and people-first strategies to stay ahead in a year of change. Don’t miss this insightful fusion of qual and quant.Show Notes:Join us at Dev Interrupted Live!2025 Engineering Benchmarks Insights WebinarFollow OriFollow BenFollow AndrewOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What’s the secret to building better products? Letting engineers drive the vision.This week, host Ben Lloyd Pearson interviews Austin Spiegel, co-founder and CTO of Sift Stack, who previously spent years leading engineering teams at SpaceX. Austin reveals how SpaceX's unique engineering culture, which eliminated the product management layer,  influenced his approach to building Sift Stack, including the implementation of a forward-deployed engineering team.Learn how this approach leads to faster development cycles, happier customers, and more innovative products. Austin also argues that we're entering a new era where the most valuable engineers aren't just skilled coders, but also savvy business thinkers. He believes that as software development becomes easier due to the proliferation of AI, engineers who can connect their technical expertise with a deep understanding of customer needs and market trends will have a significant competitive advantage.Show Notes:2025 Engineering Benchmarks Insights WebinarRead The secret to better products? Let engineers drive visionFollow Sift Stack on LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Most developers (ourselves included) want to run for the hills when they hear the words “engineering process.” But it turns out, the biggest danger to your team may not be having enough process.You don’t have to take our word for it. This week’s guest made a believer out of us and we’re willing to bet she’ll make a believer out of you too. Julianna Lamb, co-founder and CTO of Stytch, understands that engineering processes can be a sensitive subject for developers. But she argues that the right amount of process can actually boost your team's velocity and empower them to take ownership. Julianna shares insights on how to right-size processes for teams, implement effective project life cycles, and address friction points to ensure smooth workflows.Show Notes:Refactoring x Dev Interrupted SurveyLearn more about StytchJulianna’s LinkedInJulianna’s TwitterOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, Dev Interrupted dives into the 2024 Stack Overflow Developer Survey, revealing a surprising statistic: only 1 in 5 developers are happy in their jobs. Stack Overflow's Senior Analyst of Market Research and Insights, Erin Yepis, joins host Ben Lloyd Pearson to discuss the survey's findings and explore the reasons behind this widespread dissatisfaction. From salary woes and workplace settings to the ever-present burden of technical debt, they dissect the factors impacting developer happiness.Later, Dan Lines offers his perspective, drawing on LinearB's data to pinpoint three key challenges to developer satisfaction. He also shares valuable strategies for tackling technical debt, a growing concern as more companies transform into software-driven businesses.Show Notes:2025 Engineering Benchmarks Insights WebinarRefactoring x Dev Interrupted Survey2024 Stack Overflow Developer SurveyCheck out Erin’s blogOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

There’s AI agents. There’s AI tooling. Do either drive business impact or are they just more things your dev team is supposed to stay on top of?Birgitta Boeckeler, Global Lead for AI Assisted Software Delivery at ThoughtWorks, joins the show to discuss the practical applications of AI in software delivery. She shares her research on AI agents, highlights areas where AI hasn't lived up to the hype, and offers concrete examples of useful AI tools for development teams.Dan Lines then joins the conversation to provide his perspective on how engineering leaders can leverage these insights to effectively implement AI within their own teams. He also discusses LinearB's efforts in helping software teams measure the business impact of AI.Show Notes:2025 Engineering Benchmarks Insights WebinarRefactoring x Dev Interrupted SurveyBirgitta’s LinkedInBirgitta’s websiteMartin Fowler MemosOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Open source has transformed software development, but can it do the same for AI?In this episode of Dev Interrupted, Conor Bronsdon talks with Scott McCarty, Senior Principal Product Manager at Red Hat, about the potential of open source AI to revolutionize enterprise DevOps. They discuss the challenges and opportunities of open source AI, including licensing, security, and the need for community-driven development. McCarty argues that open source AI is crucial for building trust and ensuring that AI benefits everyone, not just a select few.Show Notes:2025 Engineering Benchmarks Insights WebinarRefactoring x Dev Interrupted SurveyScott’s LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Everyone knows the era of growth at all costs is over, but where does that leave us? And specifically, where does that leave founders? The answer is straightforward: founders have to start thinking like business people. This week, Conor Bronsdon interviews Ashish Aggarwal, founder and CTO of Productive and an active investor in over 30 companies.Ashish shares his insights on how startups are adapting to the new “efficient growth” environment, why this paradigm shift is an opportunity for founders, and how the pressures of efficiency have created incentives for companies to move towards geo-distributed teams instead of co-located teams.Show Notes:Refactoring x Dev Interrupted SurveyAshish’s LinkedIn2024 State of SaaS Consolidation ReportOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It’s time we recognize the idea of a ‘Golden Path’ is unrealistic.In this episode of Dev Interrupted, host Dan Lines is joined by Cory O'Daniel, CEO of MassDriver, to discuss Cory’s provocative article 'DevOps is Bullshit'. They cover the pitfalls of DevOps, the evolution of cloud operations and whether or not platform engineering is the solution the industry needs .Cory shares insights on why many organizations struggle with DevOps implementation, the impact of cloud technology on traditional operations, and how internal developer platforms are reshaping the industry.Topics:01:03 Where has DevOps gone wrong?04:19 Have we changed or does DevOps mean something different?11:51 Platform engineering in 202420:10 How can platform engineering leaders measure success?26:40 Why are new hires being put in charge of DevOps?29:53 Getting buy in for a better platform engineering experience39:13 Are internal developer platforms a fad? Show Notes:Refactoring x Dev Interrupted SurveyCory O'DanielMassdriver - Standardize Infrastructure | Enhance Developer Experience | Enable Self-ServiceCory O’Daniel k8s/acc (@coryodaniel) / XDevOps is BullshitBridging Cloud Talent GapOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, host Conor Bronsdon chats with Dheeraj Pandey, CEO and co-founder of DevRev. Dheeraj shares his incredible journey from leading Nutanix to a valuation of $16 billion, to now striving to build another unicorn with DevRev.Dheeraj opens up about the lessons learned from his entrepreneurial journey, emphasizing the significance of having a holistic approach to building products and companies. He explores how his experiences at Nutanix have shaped his vision at DevRev, especially in terms of integrating AI as a core component rather than a mere add-on.The discussion also covers a range of topics including the transformative power of AI in business operations, customer-centric design, and the importance of balancing innovative technology with intuitive user experience.Topics:02:49 What inspired you to start DevRev?08:38 How did you decide not to take a bolt on approach to AI?11:30 What can other entrepreneurs learn from you about levelling up their abilities?16:42 How are you approaching scaling up DevRel?28:11 How is DevRev thinking about AI driven design?44:52 What's happening with DevRev's leadership in AI?Links:Dheeraj PandeyDheeraj PandeyDheeraj Pandey (@dheeraj) / XDevRev (@devrev)Dheeraj PandeyDownload the Engineering Leader’s Guide to Accelerating Developer ProductivityUnified SupportOpening WindowsFounder ModeOvercoming Growth CrisesZanzibar: Google’s Consistent, Global Authorization SystemOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, co-host Conor Bronsdon sits down with Daniela Miao, co-founder and CTO of Momento, to discuss her journey from DynamoDB at AWS to founding the real-time data infrastructure platform Momento. Daniela covers the importance of observability, the decision to rebuild Momento's stack with Rust, and how observability can speed up development cycles. They also explore strategies for aligning technical projects with business objectives, building team trust, and the critical role of communication in achieving success. Tune in for valuable insights on leadership, technical decision-making, and startup growth.Topics:02:01 Why is observability often treated as an auxiliary service?06:14 Making a push for observability13:32 Picking the right metrics to observe and pay attention to15:49 Has the technical shift to Rust paid off?19:23 How did you create trust and buy in from your team to make a switch?26:31 What could other teams learn from Momento’s move to Rust?38:15 Advice would you give for other technical founders?Links:Daniela MiaoThe Momento BlogMomento: An enterprise-ready serverless platform for caching and pub/subUnpacking the 2023 DORA Report w/ Nathen Harvey of Google CloudGoogle SRERust Programming LanguageOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, our host Dan Lines chats with Malte Ubl, CTO of Vercel, about why iteration speed is a game-changer for teams trying to deliver more efficiently. Malte shares how accelerating the development cycle and embracing platform engineering can supercharge productivity, helping teams ship faster and innovate more effectively.We explore what it really means to streamline workflows, reduce bottlenecks, and create an environment where developers can focus on what they do best—building great products. Malte also gives us a behind-the-scenes look at how engineering strategies are evolving to keep up with the ever-growing demands.Topics:01:14 How do you see platform engineering changing the way modern software engineering functions?04:52 Decentralized vs. centralized teams?11:40 How Vercel is using AI13:30 All about AI SDKs20:41 How should platform engineering teams should be using AI?28:02 Power struggles between high level ICs and a high level managers?30:10 Key factors to focus on when optimizing AI applications?35:11 Advice for other CTOs or engineering leadersLinks:Malte Ubl (@cramforce)About Malte UblMalte Ublv0 by VercelVercel: Build and deploy the best web experiences with the Frontend CloudDownload the Engineering Leader’s Guide to Accelerating Developer ProductivityOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What are the limitations of general large language models, and when should you evaluate more specialized models for your team’s most important use case?This week, Conor Bronsdon sits down with Brandon Jung, Vice President of Ecosystem at Tabnine, to explore the difference between specialized models and LLMs. Brandon highlights how specialized models outperform LLMs when it comes to specific coding tasks, and how developers can leverage tailored solutions to improve developer productivity and code quality. The conversation covers the importance of data transparency, data origination, cost implications, and regulatory considerations such as the EU's AI Act.Whether you're a developer looking to boost your productivity or an engineering leader evaluating solutions for your team, this episode offers important context on the next wave of AI solutionsTopics:00:31 Specialized models vs. LLMs01:56 The problems with LLMs and data integrity12:34 Why AGI is further away than we think16:11 Evaluating the right models for your engineering team23:42 Is AI code secure?26:22 How to adjust to work with AI effectively 32:48 Training developers in the new AI worldLinks:Brandon Jung on LinkedInBrandon Jung (@brandoncjung) / XTabnine (@tabnine) / XTabnine AI code assistant | Private, personalized, protectedManaging Bot-Generated PRs & Reducing Team Workload by 6%OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Engineering teams are already seeing efficiency gains by leveraging Gen AI solutions like Copilot, but the next wave of AI workflows has the potential to 10X productivity.This week, we’re exploring the world of Agentic AI with Amir Behbehani, Chief AI Engineer and Founder of Memra. Agentic AI can be defined as AI agents or systems that have the capacity to make decisions or take actions on their own based on the objectives they are programmed to achieve. These AI systems act independently, gathering information, processing it, and then choosing or executing actions without direct human intervention.Amir shares how Memra is leading the way in developing AI agents capable of handling complex tasks, decision-making, and improving productivity across industries. He also discusses the implications of AI in reshaping how businesses operate, and how organizations can prepare for a future where AI plays a central role in both day-to-day operations and high-level strategic decisions.Whether you're an AI enthusiast, an engineering leader, or curious about the future of automation, this episode offers a deep dive into the possibilities and challenges of Agentic AI and what it means for the future of work.Chapters:01:23 Defining Agentic AI 07:02 Frameworks for thinking about Agentic AI 12:52 Unpacking AI as a black box 13:58 How Agentic AI will benefit software engineers 22:55 What would be a good starting point to leverage agents on an engineering team?26:46 Will agents replace freelancers and the gig economy?36:20 What is the synthetic marketplace?40:11 How Agentic AI impacts writing codeLinks:Supercharge Your Operations with AI-Powered Agents | MemraAmir BehbehaniManaging Bot-Generated PRs & Reducing Team Workload by 6%OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

According to a LinkedIn study, engineers with strong soft skills are promoted 13% faster than those with only technical skills. Given how AI will continue to reshape market demands for developers and engineering leaders, how can you adapt to these changes and further your career?This week we’re joined by Aarathi Vidyasagar, VP of Engineering at LinkedIn, to explore the growing importance of soft skills and how leadership, communication, and empathy are becoming just as critical as technical expertise.Aarathi shares how LinkedIn is preparing engineers to thrive in this new environment, focusing on upskilling teams to navigate AI and empower collaboration and innovation through strong interpersonal skills. She offers valuable takeaways into building engineering teams that balance hard technical abilities with the soft skills needed to lead, mentor, and work effectively in diverse teams.For anyone interested in the future of engineering and the rising demand for soft skills, this episode offers an important perspective on how to equip your teams for long-term success in an AI-driven world.Episode Highlights:00:56 How industry changes have impacted the need for communication and soft skills 04:31 How software development is going to continue to change 12:33 Generalists vs Specialists 15:52 How is LinkedIn positioned for the new era of hiring?31:11 How is LinkedIn approaching developer experience and productivity?36:33 How to support devs in automating migrations Show Notes:Aarathi on LinkedInClosing the Tech Talent GapManaging Bot-Generated PRs & Reducing Team Workload by 6%OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Gen AI for dev teams has been a focal point of conversation for the last few years, but the technology and application are both still very nascent. How can you find the best Gen AI use case for your team, and implement it safely?This week, our host Dan Lines sits down with Peter McKee, Vice President of Developer Relations and Community at Sonar. They explore the benefits and risks associated with Gen AI, and whether this new tooling is most impactful for junior or senior developers. Regardless of the persona, there needs to be an emphasis on quality control, static code analysis, and the new coaching strategies to help the influx of new code.Tune in to hear Dan and Peter offer practical advice for engineering leaders on safely experimenting with and integrating Gen AI tools to enhance productivity without sacrificing quality.Episode Highlights:00:33 The ins and out of being a VP of Developer Relations and Community04:48 The Importance of wisdom and experience when applying Gen AI08:32 Is there more of a risk for junior developers in this age?19:51 How tooling can help with the influx of Gen AI Code 26:02 The safe ways to roll out Gen AI to developers29:21 Where to start applying Gen AI for your team Show Notes:Peter McKee (@pmckee) / XPeter McKeeBetter Code & Better Software | Ultimate Security and Quality | SonarDownload The Engineering Leader’s Guide to Accelerating Developer ProductivityOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In an organization as big as Shopify, how can you pioneer exceptional developer experience not only for your team but also for external developers using your product?This week we’re joined by Eytan Seidman, Director of Product at Shopify to unpack Shopify's approach to building elite engineering teams. Eytan highlights how Shopify’s high-context, high-autonomy culture empowers engineers and product managers to innovate and drive impact. By leveraging a mission-driven culture, Shopify ensures that internal and external developers can contribute effectively to the platform, without being bottlenecked back by inefficient processes or developer experience.Tune in this week, and discover how you can implement the same processes that have made Shopify so successful.Episode Highlights:00:50 What makes engineering and product roles at Shopify special?03:31 How Shopify onboards new hires to drive impact09:05 Pioneering developer experience at Shopify13:28 How Shopify defines success for their platform 17:50 Building high-context, empowered teams29:35 Leveraging AI and LLM’s as a growth opportunity35:29 Advice for product and engineering leaders thinking about their next career stepShow Notes:Eytan Seidmanx.com/eytanseidmanShopifyShopify Developers Platform—Build. Innovate. Get paid.Download your copy of the 2024 Software Engineering Benchmarks Report hereOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Both the aerospace and defense sectors are renowned for long project timelines rife with silos and hurdles that get in the way of productivity. With over 20 years of experience at Lockheed Martin and elsewhere, Robin Yeman literally wrote the book Industrial DevOps on how to implement DevOps principles at traditional behemoths to build faster, safer systems.As Space Domain Lead at Carnegie Mellon's Software Engineering Institute, Robin’s pioneering work reveals how applying DevOps principles can significantly improve speed, quality, and collaboration at traditional enterprises. She emphasizes the importance of cross-functional teams, modular architectures, and a growth mindset in driving innovation and overcoming the challenges of digital transformation within the aerospace and defense sectors.Tune in to gain practical insights about the application of DevOps in large-scale systems, the role of organizational design in fostering communication, and how these principles have helped government software teams.Episode Highlights: - 01:12 Robin’s book Industrial DevOps- 04:00 How did Robin’s work at Lockheed Martin lead to Carnegie Mellon?- 05:46 How should you get started thinking about industrial DevOps?- 08:01 How Robin’s research came together across varied experiences- 10:25 What patterns can you adapt to be more successful?- 16:54 Quantitative vs. qualitative data when making long term plans- 20:27 Shifting left in Industrial DevOpsShow Notes: Robin YemanIndustrial DevOpsWiring the Winning Organization - IT RevolutionDownload your copy of the Gen AI Impact Report todayOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Scaling new product lines within a growing company can be both an opportunity and quite challenging. Semgrep's Head of Engineering Adam Berman joined us this week to share his own experience developing Semgrep's second product line.Adam was instrumental in developing Semgrep's second product line, and he shares practical strategies for moving from a single-product to a multi-product organization. He unpacks the challenges of organizational design, the importance of fast iteration and feedback loops, and how to build a cohesive company identity with so many moving parts.If you want to learn how to effectively scale products and how to drive product growth, this episode is a must-listen.Episode Highlights: 1:10 The challenges of new product lines 4:25 Scaling teams for success and strategies for growth7:30 Finding the right balance between practicality and innovation12:15 A startup within a startup mentality 18:40 Learning through experimentation23:55 Key considerations when navigating product market fit28:20 Driving growth in engineering teamsShow Notes: Adam Berman on LinkedInAdam Berman (@adamberman_13) / XSemgrepDownload your copy of the Essential Guide to Software Engineering Intelligence Platforms OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, co-host Conor Bronsdon sits down with Amanda Sopkin, Engineering Manager at Asana. Amanda shares her journey from software engineer to manager, discussing the pivotal moment she chose to pursue management over an individual contributor path. We cover the indicators of a successful manager, the red flags to watch for, and the importance of mentorship.Amanda emphasizes the value of finding the right fit for team members, tailoring leadership styles, and developing a balanced team. Tune in for insights on managing senior versus junior engineers, promoting team members, and striking a balance between professional growth and personal fulfillment.Episode Highlights:00:49 Amanda’s Path to Engineering Management 04:58 How to tailor your leadership style to your team06:40 Unlocking the potential of your team13:25 Keeping track of your team members individual needs17:43 Management career goals20:31 What Amanda is passionate about within engineeringShow Notes:Amanda Sopkin on LinkedInAmanda Sopkin on Twitter / XAmanda Sopkin’s websiteAmanda Sopkin on GitHubAsana Project Management SoftwareOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

“If you're not careful, cloud computing can lose more money faster than any invention in history” - Mark Robinson, Infrastructure Engineer at PlaidThis week, guest host Ben Lloyd Pearson sits down with Plaid’s Mark Robinson to learn how he helped Plaid save 25% in costs by optimizing existing resources and eliminating waste in cloud computing.Mark explains the importance of understanding your cloud bill, identifying areas of overspend, and implementing changes that lead to significant savings. From the basics of tagging resources to the intricacies of optimizing network and storage costs, Mark offers practical tips that can help you uncover countless optimization opportunities.Tune in to learn about the rewards of improving cloud cost efficiency, the role of organizational buy-in, and the benefits of making cost optimization a company-wide value.Episode Highlights: 00:56 How did cloud computing get so expensive?02:34 Digging into what your costs actually are04:55 How can you account for the various services you use?07:35 Where are organizations going to get the most value out of?12:26 Cloud costs relation to better code quality16:08 Blockers in organizations to cost savings19:32 Getting buy-in from leadership on cutting cloud costsShow Notes:Download your copy of the Essential Guide to Software Engineering Intelligencehttps://www.finops.org/https://www.linkedin.com/in/mark-robinson-944084bOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

AI is the biggest hype cycle happening in tech right now, but how do you know what’s actually going to make an impact for your product and team vs. what’s just new and shiny?This week, LinearB COO & Co-founder Dan Lines sits down with Louis Brandy, Member of Technical Staff OpenAI and ex-VP of Engineering at Rockset. Louis shares his unique perspective on the evolution of AI, drawing from his experiences with early days AI work at Meta and now with OpenAI following their acquisition of Rockset. He shares grounded insights into the realities of AI, separating fact from fiction in an industry often clouded by buzzwords and unrealistic expectations.Listeners will learn about the practical applications of AI, the challenges and opportunities it presents, and how to go past the hype to find AI's potential. Whether you're an AI enthusiast, a skeptic, or a professional looking to understand the true impact of AI for engineering teams, this episode offers an insightful look at one of the most talked-about topics in tech today.Episode Highlights: 00:32 Louis Brandy's background with AI at Meta04:31 The current AI hype cycle13:09 How should engineering leaders think about AI and the pressure to use it?17:58 How to know if you’re falling into the hype cycle25:50 AI vs. human code34:42 Real time when it comes to AI38:36 What should an IC do about AI in their career path?Show Notes:OpenAI Acquires RocksetDownload your copy of the Essential Guide to Software Engineering Intelligence PlatformsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

When we first saw the talk titled “Space Aliens Are Among Us, Your Product Roadmap is Realistic and Other Lies you Believe,” we knew we had to sit down with Best Egg’s Johnny Ray Austin at LeadingEng SF last year.Johnny joined our host Conor Bronsdon to discuss how engineering leaders can navigate unrealistic expectations and pressures, drawing from his experiences and relating product roadmaps to the less-than-tangible UFO disclosure we’ve seen in recent years. The conversation explores the pressures engineering leaders face, how to align product roadmaps realistically, and how to manage ambiguity within teams.By aligning engineering goals with business objectives and building a transparent, high-performing engineering culture, you can give your teams the context they need to drive focus and concentration toward the right outcomes.Episode Highlights: 1:36 Where Johnny came up with the talk title "Space Aliens Are Among Us" 4:15 Advice for engineering leaders struggling with roadmap realism 6:44 Cutting through the noise to find the metrics that matter 11:41 How do teams know if they're moving fast in the right direction? 14:58 How do you handle teams that are getting the wrong input? 20:32 Lies we tell ourselves that we need to get past 28:32 What it’s like to create a new unit inside a company 33:53 Identifying and dealing with ambiguity on your teams 40:45 Johnny’s Thoughts on AIShow NotesDownload your complimentary Gartner® Market Guide: Software Engineering Intelligence (SEI) PlatformsJohnny Ray AustinPersonal Loans | Quick & Easy Application | Best EggOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Engineering leaders have long used value stream management and CI/CD tools to improve software delivery practices. However, an increasing demand for cost and efficiency is leading to the adoption of new technologies. Enterprises are quickly adopting tools that combine deeper levels of visibility into the SDLC with net-new workflow automations, leading to a better developer experience and increased output. This week's labs episode takes an in-depth look at Software Engineering Intelligence (SEI) Platforms and how engineering teams are using this new technology to gain a competitive advantage. LinearB’s COO and Co-founder Dan Lines along with co-host Conor Bronsdon cover the evolution of SEI, its core capabilities, and how these tools are being used to drive predictability, resource investment strategy and an improved developer experience. Join our journey into the data insights and workflow automations that are driving the next wave of continuous improvement. Gartner estimates that the adoption of SEI platforms will increase to 50% of engineering teams by 2027 – whether you're a VP, manager, or developer, find out why adopting an SEI Platform is crucial to your future success.Episode Highlights:2:39 Digging into the data to find optimizations 4:02 What is Software Engineering Intelligence (SEI)? 9:08 What is profitable engineering and why should it be top of mind? 14:56 How can SEI help a VPE or CTO? 20:43 How does SEI relate to value stream management? 25:05 The role of automation in continuous improvement 29:36 How do SEI platforms help improve GenAI code orchestration? 31:45 What makes a great SEI platform? 34:19 What's next for SEI?Show Notes:Moneyball (2011) directed by Bennett Miller • Reviews, film + cast • LetterboxdDownload your complimentary Gartner® Market Guide: Software Engineering Intelligence (SEI) PlatformsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this episode of Dev Interrupted, Conor Bronsdon is joined by Sanghamitra Goswami, Senior Director of Data Science and Machine Learning at PagerDuty. Sanghamitra shares her expertise in AI and data science, including how engineering teams can effectively leverage both within their organizations. She also explores the history and significance of LLMs, strategies for measuring success and ROI, and the importance of foundational data work. The conversation ends with a discussion about practical applications of AI at PagerDuty, including features designed to reduce noise and improve incident resolution. Episode Highlights:00:56 Why are LLMs important for engineering teams to understand?03:17 How should engineering leaders think about using AI in their products?07:57 What sort of plan should engineering leaders have to get buy in for AI?13:22 Are there ways to show ROI on an investment in AI?15:08 How should we communicate with customers about AI in our products?18:53 How can companies find a good use case for AI in their product?Show Notes:LinkedInPagerDutySoftware Engineering Intelligence: Exposed & In ActionOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, guest host Ben Lloyd Pearson chats with Thayse Onofrio, Software Engineer at Clutch and ex Thoughtworks. Thayse discusses how micro frontends allow individual application components to be operated and deployed independently, helping teams avoid the complexities of a monolithic architecture. They cover the technicalities, challenges, and advantages of implementing micro frontends, including the importance of module federation and proper coordination among developer teams. Learn about the future of frontend development, the cultural impacts, and the best practices from Thayse’s experience. Episode highlights:01:02 What is a micro frontend?04:08 Building from scratch vs. out-of-the-box solutions 10:30 What’s the process for moving to a more micro frontend based approach?15:46 What changes do you need to use a micro frontend framework? 17:28 What does a team using micro frontends benefit from once it's all set up?Show Notes:Thayse Onofrio | TwitterThayse Onofrio | SubstackThayse Onofrio | LinkedInThayse Onofrio | LeadDevSoftware Engineering Intelligence: Exposed & In ActionOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Dan Lines is joined by Gil Broza, author of 'Deliver Better Results,' to discuss how you and your organization can achieve better results by focusing on processes. Gil shares his 20-year journey in the Agile field, focusing on product development, system thinking, prioritizing people, and mindful mindset adjustments.The conversation covers the book’s target audience, the concept of the value delivery systems, and the roadmap for holistic improvement beyond traditional Agile methodologies. Gil also highlights common pitfalls leaders encounter, such as treating people as resources and the importance of a unified organizational mindset.As a thank you to our listeners, we’re giving away the first chapter of ‘Deliver Better Results’ for free, check it out here.Episode Highlights:00:58 What led Gil to write ‘Deliver Better Results’, and who should be reading it?06:20 Is there a certain size of team that would benefit from this book?12:08 How can leaders identify the current state of their team?17:01 How can engineering and product work better together?20:49 What do leaders get wrong about people?34:14 How can managers avoid finding someone to blame?40:10 How can you avoid falling back to old habits after you make changes?Show Notes:Gil Broza on LinkedInGil Broza (@gilbroza) / XDeliver Better Results: How to Unlock Your Organization’s PotentialDownload the first chapter of ‘Deliver Better Results’ for free hereOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, guest host Ben Lloyd Pearson sits down with Bloomberg’s Engineering Manager Luis Vega. Luis discusses the initial challenges of enhancing developer engagement with internal tooling. He outlines his approach to building internal applications that are as intuitive and engaging as Bloomberg's client-facing solutions, and how applying UX design principles and branding for tools dramatically increased adoption. Vega also reflects on transitioning from a hands-on developer to a managerial role, emphasizing the importance of understanding team dynamics and fostering a culture of support and innovation within Bloomberg.Episode Highlights:01:14 What is Bloomberg?02:52 How do you get developers to embrace internal tooling?06:58 Giving applications mascots12:28 Helping developers be more productive with internal tooling18:31 What was the biggest challenge to tackle when developing internal tooling?25:41 Luis' journey into development32:07 What's next for Bloomberg's internal tools?Show Notes:How to Drive Developer Productivity and Profitability with SEI BloombergLuis Alejandro Vega on LinkedInLuis Alejandro Vega (@luisalejovega) / XAleAlejandro on YouTubeOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In our first Labs episode of the year, LinearB COO and Co-founder Dan Lines is joined by CTO Yishai Beeri to explore how elite engineering organizations set and report on their engineering goals. Modern engineering leaders face a dual mandate of achieving operational excellence while aligning their work with business priorities. To achieve this, you need to deliver software predictably—projects need to be delivered on time, within scope, and as promised so the rest of the business can drive ROI. Dan and Yishai highlight goal-setting methodologies to achieve predictable delivery and key metrics to focus on, ranging from planning accuracy and capacity accuracy to cycle time.Along with goal setting, we cover how to effectively report on your goals and progress to business stakeholders. Plus, you can download LinearB’s CTO Board Deck Template to leverage in your next board meeting.Episode Highlights:01:24 Key terms to know when setting goals 02:17 Engineering leaders’ dual mandate: operational excellence and business alignment 08:18 How can engineering leaders set goals to achieve both sides of this mandate?11:37 Why engineering organizations need to deliver predictably 19:37 How to set goals around resource allocation 27:30 Reporting on your goals to business stakeholders 32:56 The LinearB CTO Board Deck TemplateShow Notes:Gartner SEI Platform Market GuideCTO Board SlidesEngineering Leader Guide to Goals and ReportingLinkedIn: Yishai BeeriTwitter: Yishai BeeriOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, I sat down with Neha Batra, VP of Engineering for Core Productivity at GitHub. Our conversation is about the value of taking calculated risks in engineering leadership, using a “risk budget," and how you can leverage your social capital to take risks that help your career.Neha also shares her insights on senior engineering leaders' challenges when aligning business needs with talent and product execution. She discusses her framework for strengthening company alignment and engineering efficiency using established communication paths.Episode Highlights:00:26 Frameworks that strengthen company alignment03:11 How should you channel frustration into creation?05:58 Conceptualizing your risk budget 12:53 Strategies for building communication pathways 16:04 Conducting AMA's with your team21:47 How do you get team members to take accountability?25:27 How do you gather signals from your team?29:13 Mistakes leaders make you can learn from 36:32 Building curiosity into mundane experiences like datingShow Notes:Starting Your Engineering Metrics Program nerdneha (Neha Batra) · GitHubNeha BatraNeha (@nerdneha) / XGitHub: Let’s build from here · GitHub OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In the last few years, disengagement at work has become a massive issue. We learned from Dr. Andre Martin’s episode that 53% of managers are burnt out and 1 in 3 employees leave their jobs in the first 90 days.This week, we sat down with Chuck Lafferty, VP of CRM at ADP, to discuss ADP’s approach to employee engagement and innovation. Chuck dives into building trust within teams, innovative techniques like ‘Survey Roulette’ to incorporate user feedback into development, and the critical role of understanding and caring for individuals.When employees feel valued, heard, and engaged in meaningful work, you see improved productivity and increased job satisfaction. The episode concludes with actionable steps to improve employee engagement through personalized interactions and empathetic leadership.Episode Highlights:01:51 How does Chuck define employee engagement?04:06 Can you measure employee engagement?12:05 How can managers engage individual developers?17:16 Survey Roulette and how it helps engage engineering teams.22:31 Winning in the workplace 23:45 The importance of separating the problem from the person25:30 How can you improve employee engagement?Show Notes:Starting Your Engineering Metrics Program Workshop Chuck LaffertyPayroll, HR and Tax Services | ADP Official SiteConfident CoderChuckLafferty (@ChuckLafferty) / XOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, our host Dan Lines sits down with Tara Hernandez, VP of Developer Productivity at MongoDB. Together, they explore the nuances of developer productivity and the impact of AI in engineering environments.Tara emphasizes that achieving developer productivity requires a focus on outcomes, reduced noise for developers, and a healthy balance between technology, processes, and communication. She also touches on the strategic framework of the 'three horizons' for conceptualizing your investment breakdown across different projects and how to maintain focused on meaningful development work.Episode Highlights:01:43 How should you think about developer productivity?09:09 Three pillars to improve developer productivity16:07 Automated does not equal autonomous24:46 Making the golden path the easy path for developers27:51 What’s exciting in developer productivity and AI?29:57 The three horizons38:34 Developer performance vs productivity data40:23 What is the right way to think about goal setting for noise reduction?Show Notes:Starting Your Engineering Metrics Program Workshop Tara HernandezMongoDBGitHubCloudBeesCircleCIAtlassianEvergreen CI in GitHubOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In the past year, ransomware attacks have been up almost 300%, with over 50% targeting small businesses. To help mitigate this increase, Microsoft is launching their new Security Copilot, and we sat down with their SMB Security Strategy Head, Binil Pillai, to learn more.We dive into the importance of SMBs assessing their security posture, how to leverage AI for efficient threat detection and response, and the role of Microsoft's partner ecosystem in providing comprehensive security solutions. The episode concludes with advice for SMB leaders on starting their security assessments and the benefits of integrating AI into their cybersecurity strategies.Episode Highlights:01:39 Why is SMB security a priority for Microsoft?07:34 Key security challenges for SMBs 09:26 How can SMBs leverage AI within security?16:28 How VPs of Engineering can use new tech to deal with threats20:25 Microsoft Security Copilot 24:30 Where is the best place to learn about Microsoft's security strategy?Show Notes:Microsoft Copilot for Security is generally available on April 1, 2024 | Microsoft Security BlogMicrosoft Copilot for Security: General Availability details - Microsoft Community HubMicrosoft 365 Business Premium | Microsoft 365Microsoft Defender for Business | Microsoft SecurityAutomatic attack disruption in Microsoft 365 Defender | Microsoft LearnMicrosoft Defender for Cloud | Microsoft SecurityWhat is Microsoft Defender for Cloud? - Microsoft Defender for Cloud | Microsoft LearnOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this episode, host Conor Bronsdon talks with Melissa DePuydt, Sr. Director of Engineering at Upstatement. Melissa discusses how her background in journalism has uniquely positioned her to excel in engineering leadership roles. She highlights how thinking like a journalist has enhanced her ability to lead engineering teams effectively, particularly in planning, risk management, and decision-making.The conversation covers the importance of preparing for disruptions, conducting pre-mortems to anticipate challenges, and incorporating broad perspectives for effective problem solving. Melissa also shares insights on continuously learning and adapting by embracing one's unique background and experiences.Episode Highlights:00:20 Why do engineering leaders need to think like journalists?04:46 Preparing for disruptions as an engineering leader08:44 How pre-mortems work in practice: an example from the Atlantic12:47 How to get buy in from other leaders when changing processes 17:59 Eliciting buy-in from team members on pre-mortems22:15 How do we train engineers to think in a team sport mentality?26:51 Why is career switching a superpower?Show Notes:Melissa DePuydtUpstatement | A digital brand and product design studioOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

On this week’s episode, host Conor Bronsdon sits down with Emily Nakashima, VP of Engineering at Honeycomb.io, to discuss how you can prepare to be a VP of Engineering, and how the role differs among companies. Being a VPE varies based on company size, culture, and the existing team's makeup, and Emily provides valuable advice for engineers aspiring to leadership positions.Emily also discusses using personality tests for better team dynamics and the need for regular self-evaluation as an integral part of career advancement. The conversation closes by talking about the impact of AI on the workforce, the importance of aligning engineering and business goals, and the potential of AI to enhance rather than replace human skills.Episode Highlights:01:27 Why does Emily think there isn't a standard VP of Engineering role?06:29 The archetypes of the VPE role10:15 How does the VPE role change as an organization grows?14:46 Preparing to become a VP of Engineering before you get the role20:11 How you can use personality tests in organizational design26:00 How is the VP of Engineering role changing in 2024?30:53 Teams are having to accept realities about production software with regards to AIShow Notes:Modern Practices for Goal Setting in Software Engineering Emily NakashimaEmily Nakashima (@eanakashima.bsky.social) — BlueskyObservability for Distributed Services | HoneycombStrengthsFinder 2.0 | EN - GallOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, host Conor Bronsdon welcomes back Kelly Vaughn, Director of Engineering at Spot AI, to talk about building influence as an engineering leader. Kelly shares insights on the importance of leadership skills for both individual contributor and managerial roles and outlines her three pillars of trust, communication, and empowerment. Conor and Kelly discuss strategies for staying technically fresh despite moving up in management, exploring the balance between staying close to product development and avoiding micromanagement. Lastly, they touch on the potential of AR/VR technology, with a focus on the business implications of Apple's Vision Pro and the future of immersive experiences.Episode Highlights:01:09 How should engineering leaders think about building influence?03:53 The impact of changing roles or companies on your performance 08:07 Why you lose important context when making assumptions09:32 How ICs can help manage their team10:49 Key ways to build influence and trust16:00 How important is trust when giving or recieving feedback?22:27 How do leaders stay close to their product as their org grows?28:58 Our thoughts on Apple Vision Pro and AR VR in generalShow Notes:Kelly VaughnLessons in Engineering Leadership | Kelly Vaughn | SubstackSpot AI: Video Intelligence for Better Decision-MakingRadical Candor | Feedback Training, Coaching & ConsultingOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

On this week’s episode, host Conor Bronsdon is joined by Jason Krohn, Global Head of Delivery at Syngenta. Jason delves into how his teams at Syngenta leverage software engineering intelligence to achieve predictable delivery at scale. Jason also explores how aligning work with employees' passions contributes to success and retention at Syngenta. He discusses the challenges and solutions in implementing efficient DevOps processes and ensuring organizational buy-in for the vision. Additionally, Jason highlights the importance of empowering teams with autonomy and providing the necessary tools for proactive decision-making.Whether you're leading a small team or managing an enterprise, Jason's insights offer valuable lessons on driving efficiency, scaling effectively, and fostering a culture of continuous improvement.Episode Highlights: 1:46 Scaling teams that are empowered and autonomous 4:01: The four pillars for retaining talent in tech teams.12:51 Tackling organizational change 18:41 Using metrics to achieve predictable delivery 21:45 Why your engineering teams' need to care about metrics, not just be compliant 26:20 Addressing production delays and DevOps integration28:55 Leadership's role in communicating the 'why’33:05 The Importance of Coaching When Mentoring Show Notes:SyngentaJason KrohnOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, host Dan Lines welcomes back Zach Goldberg, CTO and author of the book 'The Startup CTO's Handbook: Essential Skills and Best Practices for High Performing Engineering Teams.’ Zach shares insights from his extensive career as a CTO and his journey in writing a book that condenses the wisdom of numerous other influential works into a single, comprehensive guide.We explore the three core sections of his book:Management Fundamentals: Interviewing, Hiring, Performance Management, Budgeting, etc. Technical Leadership Concepts: Developer Experience, Tech Debt, etc. Hard Technology Decisions: Pragmatism, Tech Stack, etc.Zach provides advice for not only CTOs but anyone in a technical leadership position, offering strategies to develop empathy and understanding within technical organizations.Episode Highlights: 1:59 From Startup CTO to Author and Executive Coach3:41 The Origin of Best Practices and Genesis of the Handbook  10:25 Why the Startup CTO’s Handbook isn’t just for CTOs 13:02 Part 1: Management Fundamentals Beyond Coding24:50 Part 2: Technical Leadership Concepts & Developer Experience30:57 Part 3: Technology Decisions from a Pragmatic PerspectiveShow Notes:The Startup CTO's Handbook: Essential skills and best practices for high performing engineering teamsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It doesn’t matter if you have an innovative technical strategy if you’re not solving problems the business cares about… This week, host Conor Bronsdon sits down with Rob Zuber, CTO at CircleCI. They delve into the evolving role of engineering leaders, and the importance of building a technical strategy that aligns with overarching business goals.Throughout the conversation, Rob emphasizes the importance of focusing on customer needs, gathering direct feedback and maintaining strategic flexibility. If you’re interested in understanding the balance between technical strategy and business leadership, this episode provides a wealth of knowledge, strategies, and real-world examples.Episode Highlights:01:38 Crafting technical strategy for teams at CircleCI 07:26 How engineering leaders can make the most informed choices about their business17:47 Using postmortems to fuel a growth mindset 22:39 Applying hypotheses to be prepared for worst-case scenarios 27:43 Why CTOs need to focus on solving business problems first, then technical strategy30:30 Why engineering leaders need to form a close relationship with finance33:17 Advice for ICs or Directors on becoming a business leader39:17 Rob's approach to building trust and organizational design 44:36 How can I prepare for being a technical founder?55:12 What is CircleCI doing in ML?Show Notes:Modern Software EngineeringOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

On this week’s episode, host Conor Bronsdon sit down with Guilherme Sesterheim, SAP DevOps SRE Engineer at AWS. Guilherme delves into applying Chaos Engineering and DevOps principles to SAP, a domain traditionally seen as risk-averse and resistant to rapid innovation.With expertise in both open-source technologies and SAP, Guilherme shares how he’s bringing modern practices to SAP environments at AWS. He explores how Chaos Engineering can be used to test and improve the resilience of SAP systems, focusing on HANA, SAP’s in-memory database. The discussion also touches on the challenges of integrating these practices within the SAP framework and the broader implications for SAP users and the tech industry.Episode Highlights:00:20 What does it mean to apply chaos engineering to testing SAP installation04:05 What does it mean to have DevOps around SAP?05:58 Guilherme’s approach to DevOps practices around SAP10:01 The challenge of handling installation and migration11:50 How to Start Applying Chaos Engineering to Your SAP Instance16:57 The 12 Scenarios When You Inject Failures on SAP19:24 How Guilherme ended up at AWS working on SAP23:14 What’s Next in DevOps Guilherme is Excited About?Show Notes:Wiring the Winning Organization - IT RevolutionOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

On this week’s episode, our hosts Dan Lines and Conor Bronsdon are joined by long-time friend of the show, industry expert, and Director of Engineering at Spot AI, Kelly Vaughn. Together they tackle a range of topics, including how tax laws are impacting engineering teams, the evolving role of AI in software development, and the great build vs. buy debate.The conversation starts with Kelly and Dan’s takes on Section 174, which poses a looming threat to US tech companies. From there, they pivot to GenAI to discuss how you can measure its impact, leadership’s role in the process, and the importance of navigating this implementation wisely. They conclude by talking about Kelly’s recent article on the debate of building software in-house vs. buying third-party solutions, and why the answer isn’t black or white.Episode Highlights01:35 Section 174's impact on US tech companies08:01 Why intention matters for remote vs. in-person work12:46 Kelly and Dan’s take on what’s causing layoffs in tech18:21 What should leaders be doing to encourage Gen AI tool knowledge?24:28 How are we tracking the impact of Gen AI?31:50 How should organizations set up standardization?33:55 The great build vs. buy debate39:47 How the engineering leaders’ role has changed in recent yearsShow Notes:Lesson in Engineering Leadership | Kelly Vaughn | SubstackMeasuring Impact: GenAI Code | LinearBFoundation (Chronological Order) Series by Isaac AsimovWatch Foundation - Apple TV+OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

On this week's episode, we're joined by Carol Barrett, the Engineering Leader in Consumer Identity and Access at Netflix. Host Conor Bronsdon interviews Carol to learn about Netflix’s blueprint for success when building engineering teams, and how they foster a culture where inspiration and purpose are at the forefront.Carol shares her valuable insights on empowering engineers to make their own decisions, ensuring product management and engineering are perfectly synced, and the importance of flexible structures that cater to team dynamics. She also discusses the unique challenges and opportunities Netflix faces, including their approach to innovative projects and navigating uncharted technological territories.From quarterly commitments to building impactful partnerships, learn how Netflix maintains its edge by allowing teams the freedom to define their own paths.Episode Highlights4:17: Finding Alignment Between Product, Leadership and Engineering 11:21 How to Build Trust in Your Partnerships 16:26 Why Engineers Have to Decide What's Best22:56 Connecting Your Team’s Purpose to the Company’s Purpose 28:37 Why Netflix Stopped Hiring Only Senior Engineers Show Notes:Learn how to measure the impact of your GenAI initiative in LinearB's upcoming workshopOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this week's episode of Dev Interrupted, co-host Conor Bronsdon is joined by David Yee, VP of Engineering at the New York Times. They dive into the often unseen aspects of organizational structures, discussing how every organization regardless of their defined values and principles, operates with a 'shadow'. David discusses the role of senior leaders in addressing systemic problems and navigating the tensions between innovation and consistency. He highlights the importance of recognizing and integrating these organizational shadows to foster better decision-making and operational efficiency.Drawing from his rich experience leading engineering teams in media, this conversation offers a unique perspective on the complexities of engineering leadership and explores the challenges of aligning technology with the century-old tradition of news reporting at the New York Times. Show Notes:Learn how to measure the impact of your GenAI initiative in LinearB's upcoming workshopOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What can you learn from the scaling issues OpenAI experienced when Chat-GPT went viral? On this week’s episode, guest host Ben Lloyd Pearson is joined by Evan Morikawa, Engineering Manager at OpenAI. Join us for a first-hand look at the engineering challenges that came with Chat-GPT’s viral success, and the difficulties associated with scaling in response to the sudden platform popularity.They also discuss misconceptions around generative AI, OpenAI’s reliance on GPUs to carry out their complex computations, the key role of APIs in their success, and some fascinating use cases they’ve seen implementing GPT-4. Show Notes:Learn how to measure the impact of your GenAI initiative in LinearB's upcoming workshopOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Season 4 kicks off with a conversation with Gene Kim, author of several renowned books, including "The Phoenix Project," "The DevOps Handbook," and most recently, "Wiring the Winning Organization." In this episode, Gene candidly shares the trials behind writing what he considers one of his most challenging books, why it was a joy to partner with Steven Spear as a co-author, and the key principles needed for creating high-performing teams.Illustrating these ideas, Gene and Conor draw on examples from diverse realms, including the intricacies of software development, the complexities of healthcare, the socio-technical system behind Amazon’s success, and everyday tasks like moving a couch. Note: This conversation is a follow-up to last year's episode with Steven Spear. You can listen to Steven's episode here. Show Notes:Order your copy today: Wiring The Winning OrganizationGet your free DORA dashboard: DORA Metrics. 100% Free. Forever.OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Hosts Dan Lines, Conor Bronson, and Ben Lloyd Pearson team up for a special holiday edition of Dev Interrupted.In this season-ending episode, they revisit their favorite moments from Season 3 of the podcast,  share a glimpse of what listeners can expect in Season 4, and spread holiday cheer as they reflect on what they're thankful for.The team is taking a week off to enjoy the holidays. We’ll see you back here on January 2nd for the start of Season 4!Show Notes:Dan's favorite episode: Career Journey 1: Interviewing & Getting PromotedConor's favorite episode: Tech Hiring in 2023: Trends, Predictions & Strategies for SuccessBen’s favorite episode: The McKinsey Developer Productivity DebateGet your free DORA dashboard: DORA Metrics. 100% Free. Forever.Vote for Dev Interrupted on the DevOps Dozen website: Best DevOps-Related Podcast SeriesOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What does protecting the more than 100 million developers on GitHub’s platform take? And what can your team learn from GitHub’s impressive security posture? On this week’s episode, co-host Conor Bronsdon is joined by Jacob DePriest, VP and Deputy Chief Security Officer at GitHub. Join them as they discuss Jacob's journey from the NSA to GitHub, delving into how AI impacts the security space and the future of Copilot's ever-expanding capabilities.The conversation also explores how enhancing customer trust, investing in diversity within security teams, and bringing security to where developers work are critical in improving security industry-wide.Whether you’re protecting dozens of users or millions, Jacob has practical advice for engineering leaders everywhere.Show Notes:Get your free DORA dashboard: DORA Metrics. 100% Free. Forever.Vote for Dev Interrupted on the DevOps Dozen website: Best DevOps-Related Podcast SeriesOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

We are in the middle of a crisis of commitment in the workplace – 53% of managers are burnt out, 1 in 3 employees leave their jobs in the first 90 days, and an estimated $7.8 trillion in lost productivity is due to poor organizational fit.On this week’s Dev Interrupted, we uncover the keys to a thriving workplace as co-host Conor Bronsdon is joined by Dr. Andre Martin, a seasoned organizational psychologist and author of the book 'Wrong Fit, Right Fit'. Together, they share strategies to discern whether a job will be a right fit or a wrong fit and delve into how companies can align their structures with individual preferences to enhance employee engagement and productivity. This insightful conversation offers practical strategies for leaders and individuals alike to identify and cultivate the right fit for long-term success and fulfillment in their careers.Order your copy today: Wrong Fit, Right Fit: Why How We Work Matters More Than EverShow Notes:Check out André's newsletter: Monday MattersGet your free DORA dashboard: DORA Metrics. 100% Free. Forever.Vote for Dev Interrupted on the DevOps Dozen website: Best DevOps-Related Podcast SeriesOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What trends do engineering leaders need to pay attention to, and how will they impact your teams in 2024?This week, co-host Conor Bronsdon is joined by LinearB co-founder and CEO Ori Keren to discuss his predictions for next year.  Together they discuss why dev team metrics are here to stay, why Ori doesn’t like the term ‘developer productivity’ [hint: he prefers ‘engineering efficiency’], how the rise of gen AI written code will create a problem for development pipelines everywhere, and the potential friction points inherent to remote work.Ori concludes the episode by offering advice to engineering leaders and startup founders on the need to adopt a metrics program or risk getting left behind.  Show Notes:Get your free DORA dashboard: DORA Metrics. 100% Free. Forever.Vote for Dev Interrupted on the DevOps Dozen website: Best DevOps-Related Podcast SeriesOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The story behind why some organizations win big and keep on winning. This week, co-host Conor Bronsdon interviews Dr. Steven J. Spear, renowned MIT senior lecturer, founder, and author, to discuss the core principles from Dr. Spear's new book with Gene Kim, "Wiring The Winning Organization".They delve into why some organizations consistently outperform others, highlighting how the best organizations create systems that enhance problem-solving through slowification, simplification, and amplification, aligning processes with cognitive strengths.With case studies from NASA's Apollo missions to Apple's smartphone market dominance, the book is a must-read for those looking to harness collective ingenuity for exceptional achievements."Show Notes:Order your copy today: Wiring The Winning OrganizationVote for Dev Interrupted on the DevOps Dozen website: Best DevOps-Related Podcast SeriesOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

With all of the hype around the future impacts of AI, it can be easy to overlook existing solutions that solve some of the biggest pain points faced by your engineering team. On this week’s episode of Dev Interrupted, co-host Conor Bronsdon and LinearB’s Head of Developer Relations, Ben Lloyd Pearson, discuss programmable workflows and how you can apply policy-as-code principles. Recorded live at the DevOps Enterprise Summit, Conor and Ben explore how gitStream’s programmable workflows can reduce manual effort, facilitate faster feedback loops, and improve developer experience.They also touch on the gitStream's seamless integrations and its future enhancements.Show Notes:Unblock your code reviews with gitStream: https://linearb.io/platform/gitstreamOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Ever wonder what it takes to make it to the boardroom? This week's Dev Interrupted is your invitation to the table. Join us as Conor Bronsdon puts host Dan Lines in the hot seat to uncover the secrets to rising through the ranks—from IC to engineering leader with a voice in the board meetings. Together, they discuss balancing tough decisions, team well-being, and how to maintain your technical edge while being able to speak in business terms to your CEO.Strap in for the grand finale of our series—it’s your backstage pass to the boardroom!Show Notes:Register today: DORA & LInearB Webinar Nov. 8OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Staying on top of emerging trends is difficult enough, so what should you do when your whole career feels, well, stuck? In this week's episode of Dev Interrupted, join co-host Conor Bronsdon and Charles Max Wood, CEO of Top End Devs, as they delve into overcoming career stagnation for developers. They discuss strategies to reignite momentum in your career, highlighting the importance of effectively showcasing your work, building strong networks, and committing to continuous learning. Whether you're a newcomer seeking direction or a seasoned professional aiming to stay competitive, this conversation offers valuable insights and practical tools to confidently navigate today's complex tech landscape and get 'unstuck' in your career. Show Notes:Register today: DORA & LInearB Webinar Nov. 8Learn more at topenddevs.com Follow Chuck on TwitterOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

We know diversity fuels innovation, so how do we bring diversity into engineering leadership? On this week’s episode of Dev Interrupted, Bhavini Soneji joins host Dan Lines for another installment in our series on the career journey of an engineering leader. Bhavini speaks to the synergy between diverse teams and enhanced performance, painting a vivid picture of creativity, insights, and knowledge sharing enriched by varied perspectives.Bhavini connects these dynamics to a culture of converting intention into action, emphasizing that intentions are just the starting point. If companies are to follow through on their promises, they should apply lean product development principles to the way they think about diversity. In this must-listen episode, learn how to transform your company’s culture, goal-setting, and hiring practices. Show Notes:Register today: DORA & LInearB Webinar Nov. 8Connect with Bhavini: https://www.linkedin.com/in/bhavinisoneji/Learn more about Bhavini at her website: https://www.bhavinisoneji.com/DORA's 2023 State of DevOps ReportGet your DORA Metrics free foreverLinearB's 2023 Software Engineering Benchmarks ReportOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What does this year’s Accelerate State of DevOps Report 2023 mean for your team?LinearB & DORA have officially joined forces. On this week’s episode of Dev Interrupted, co-host Conor Bronsdon interviews Nathen Harvey, Head of Google Cloud’s DORA team. With data gathered from over 36,000 global professionals, this year’s report investigated how top DevOps performers integrate technical, process, and cultural capabilities into their practices for success.Listen to learn how your team can focus on three core outcomes of DevOps: enhancing organizational value, boosting team innovation and collaboration, and promoting team member well-being and productivity.Show Notes:Register today: DORA & LInearB Webinar Nov. 8DORA's 2023 State of DevOps ReportGet your DORA Metrics free foreverLinearB's 2023 Software Engineering Benchmarks ReportOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In a world where products are plentiful but genuine customer focus is rare, how do you build an engineering org focused on customer needs? Embark on the 4th chapter of our series on the Career Journey of Engineering Leaders as Dev Interrupted host Dan Lines sits down with the talented, Bhavini Soneji. With a wealth of experience spanning over 25 years and pivotal roles at places like Headspace, Heal, and Microsoft, Bhavini has meticulously honed her approach to creating engineering orgs that prioritize both product innovation and a deep-rooted customer focus.Listen as Dan and Bhavini unravel what it truly means to be 'customer-obsessed' as well as the secrets to maintaining that fervent customer passion well beyond a product's launch.Show Notes:Connect with Bhavini: https://www.linkedin.com/in/bhavinisoneji/Learn more about Bhavini at her website: https://www.bhavinisoneji.com/Register today for LeadDev Berlin: https://leaddev.com/events/leaddev-berlin-2023Check out all of LeadDev's events at: https://leaddev.comContribute to LeadDev: https://leaddev.com/leaddev-call-proposalsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The news has been filled with stories of layoffs at many of tech’s biggest companies, so where are all those engineers going?Scott Carey, LeadDev’s Editor-in-Chief, rolled up his sleeves, dusted off his skills as a trained journalist, and set out to answer that question. What he found was a simple question with a complicated answer. On this week’s episode of Dev Interrupted, co-host Conor Bronsdon interviews Scott about the shifting job landscape, spotlighting the findings in Scott’s pivotal article, “Where are all the laid-off software developers going?”Beyond the dynamics shaping the future of tech employment, the two discuss why non-traditional tech companies have difficulty hiring engineers [hint: it’s not money!], whether or not the “boom times are over,” and the major trends LeadDev is seeing within the engineering community. Show Notes:Register today for LeadDev Berlin: https://leaddev.com/events/leaddev-berlin-2023Check out all of LeadDev's events at: https://leaddev.comContribute to LeadDev: https://leaddev.com/leaddev-call-proposalsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

With great power comes great responsibility. Now that you've been promoted to a people manager, how do you build a healthy and successful engineering team?Extending our series on the career journey of engineering leader, co-host Conor Bronsdon is joined by Noah Labhart, co-founder & CTO at Veryable, and host of the popular podcast Code Story. Conor and Noah shift the series' focus to the intricacies of building effective engineering teams. Beyond team building, the episode delves into the subtleties of offering and accepting feedback, the importance of hiring developers vs. programmers,  and fostering an environment where each individual can flourish.If you haven’t listened to the first two episodes of our leadership series featuring NuBank's Thiago Ghisi, you can find them on Dev Interrupted's new website. Show Notes:Download The 2023 Engineering Benchmarks Report: https://linearb.io/resources/software-engineering-benchmarks-reportListen to Code Story at codestory.coLearn more about Noah on his website noahlabhart.comOr find Noah on his LinkedIn linkedin.com/in/noahlabhartRegister for the 2023 Engineering Benchmarks Report Release WebinarOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The debate on measuring developer productivity has arrived - and it’s here to stay. On this week’s episode of Dev Interrupted, cohost Conor Bronsdon welcomes LinearB cofounder & CEO Ori Keren and Kelly Vaughn, Director of Engineering at Spot AI, to offer their critiques of a debate that has captured the attention of the engineering community: can you measure developer productivity?Consulting giant McKinsey published an article that ignited a firestorm, prompting industry leaders Kent Beck and Gergely Orosz to counter with a detailed 2-part response via the Pragmatic Engineer.Believing the industry to be at a crossroads, Ori and Kelly combine forces to offer their perspective on the debate, sharing why it’s an opportunity for dev teams everywhere to “roll out metrics the right way.”Show Notes:The McKinsey article: Yes, you can measure software developer productivityOrosz & Beck 1: Measuring developer productivity? A response to McKinsey, Part 1Orosz & Beck 2: Measuring developer productivity? A response to McKinsey, Part 2CTO Board SlidesKelly's newsletter: Lessons in Engineering LeadershipRegister for the 2023 Engineering Benchmarks Report Release WebinarOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Once you've taken that step into leadership, what foundational skills and attitudes will carry you forward throughout your career?Continuing our series on the career journey of an engineering leader, host Dan Lines once again welcomes Thiago Ghisi, Director of Engineering at Nubank. In this second episode, they pivot the discussion from the initial steps of becoming an engineering manager to the more nuanced subject of building a robust foundation as a leader. The episode explores the essential skills, the dos and don'ts, and the philosophies that can guide engineering leaders to make an enduring impact on their teams and projects.Tune in as we unravel the core principles and practices that underpin success.Show Notes:Listen to Thiago's podcast, Engineering Advice You Didn't Ask ForRead Scaling People: Tactics for Management and Company BuildingRegister for the 2023 Engineering Benchmarks Report Release WebinarOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

How do you become an engineering leader? Is it the right fit for your career? And if you do, how do you become a good one? In this multi-part series on the career journey of an engineering leader, Dev Interrupted answers these questions and many more by inviting expert guests from the software industry to share their experiences, lessons, failures and triumphs as leaders. Whether you started your career today - or 20 years ago - this series has something for everyone. In our first episode, host Dan Lines is joined by Thiago Ghisi, Director of Engineering at Nubank. Together, they explore the nuances of beginning a career as an engineering manager: from acing the interview process and securing a promotion to confidently navigating your first 3 weeks on the job. Join us for a series of real-world lessons and insights from top engineering leaders.Show Notes:Listen to Thiago's podcast, Engineering Advice You Didn't Ask ForRegister for the 2023 Engineering Benchmarks Report Release WebinarOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In an industry buzzing with enthusiasm for Engineering Platforms, many are developed without a clear product vision, leading to poor adoption or even hindering organizational performance. On this week’s episode of Dev Interrupted, cohost Conor Bronsdon talks with Simone Casciaroli, Head of Engineering at Onto. We first encountered Simone's insights at LeadDev New York and immediately knew he'd be the perfect guest to discuss how to build engineering platforms using the right metrics. Join us as Conor and Simone delve into the HEAT metrics and explore how they dovetail with established engineering standards like DORA. The episode rounds off with an engaging discussion about electric vehicle startup Onto.Show Notes:Read more from Simone at his website: simonecasciaroli.comFollow Simone on LinkedIn: https://www.linkedin.com/in/simonecasciaroli/OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Considering expanding your engineering team overseas? While daunting, the rewards could outweigh the challenges. On this week’s episode of Dev Interrupted, co-host Conor Bronsdon welcomes Kelly Vaughn, Director of Engineering at Spot AI, back to the show. One of our most listened-to voices, Kelly dissects the decision-making process behind opening a new office - from the long list of potential countries to the myriad factors that clinched the decision.Outside of the big picture stuff like navigating timezones and culture differences, Kelly also shares valuable insights on ground-level practices, such as the importance of local recruiters and strategies for discussing equities and contractor partnerships. Show Notes:Read Kelly's newsletter engleadership.xyz Books from today's podcast: The Culture Map & Crucial ConversationsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The wrong internal tools can hold your team back. So how do you find the right ones, and how the heck do you get engineers to adopt them once you do?On this week’s episode of Dev Interrupted, co-host Conor Bronsdon welcomes Debo Ray, co-founder & CEO of DevZero, to discuss the challenges developers face due to inadequate tools. With a keen sense of developers' needs, Debo explains why many companies fail in this domain, squandering precious dev time. Debo also offers a peek into the future of cloud development, the work he's doing at DevZero, and the nuances of marketing tools to developers. Show Notes:Learn more about DevZero at devzero.ioDebo's NewsletterDevZero's LinkedInOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

On this week’s episode of Dev Interrupted, host Dan Lines speaks with Mike Hamrah, CTO at Flowcode. Together, the two detail the fundamental responsibility of developers and tech leaders: shipping code. Mike shares a candid view of the industry's current state, lamenting how the focus on code shipping is getting lost amidst the complexities of agile methodologies, stand-up meetings, and sprint planning. He urges developers and leaders alike to recenter their conversations on the essence of their roles, serving as a call to action in the episode and reminding listeners of the importance of understanding what code needs to be written and the purpose it serves, all while avoiding detrimental practices that can hinder long-term development success.Dan and Mike end the episode with a conversation on goalsetting and OKRs, translating classic business goals into engineering execution and emphasizing the need to turn general business goals into concrete, actionable plans.Show Notes:Learn more about Flowcode at flowcode.comFlowcode is hiring!OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

On this week’s episode of Dev Interrupted, co-host Conor Bronsdon and Ben Lloyd Pearson, LinearB’s Director of Developer Relations, detail the evolution of Continuous Merge and the tool behind it, gitStream. Joining the conversation is Nik LeBlanc, VP of Engineering at DevCycle. Nik shares the ways his team is using gitStream to streamline code reviews and offers practical advice for anyone looking to implement the tool on their own team. He also explores the somewhat controversial practice of splitting up and reshuffling engineering teams, a strategy that DevCycle has used to great effect. Nik finds that this practice helps balance teams, manage diverse knowledge bases, and de-risk the organization.Conor and Ben wrap up the conversation by casting an eye on the future, focusing on the potential and direction of gitStream.Show Notes:Guide to Continuous Merge StandardsEvery pull request is unique: treat them that way with gitStreamAbout DevCycleDevCycle's Continuous Merge blog postNikolas LeBlanc (@nikolasleblanc) / Twitter OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Amid the escalating buzz surrounding AI tools, many development teams grapple with deciding which ones suit their needs best, when to adopt them, and the potential risks of not doing so. As AI continues to pose more questions than answers, the fear of falling behind the competition lurks for many.This week's episode of Dev Interrupted aims to dispel these uncertainties by welcoming CodiumAI’s founder & CEO, Itamar Friedman. In one of our most illuminating discussions this year, Itamar pierces through the AI hype, explaining what AI tools bring to the table, how to discern the ones that would truly augment your dev teams, and the strategies to efficiently identify and experiment with new tools.Beyond the allure of AI, Itamar doesn't shy away from addressing its pitfalls and adversarial risks. He also probes into the future of the developer's role in an increasingly AI-driven landscape, answering the question: “Will there be developers in 10 years?”Show Notes:Learn more about CodiumAIRead CodiumAI's blogCodium's LinkedIn: https://www.linkedin.com/company/codiumaiItamar's LinkedIn: https://www.linkedin.com/in/itamarf/Itamar's Twitter: @itamar_marOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

On this week’s episode of Dev Interrupted, co-host Conor Bronsdon welcomes Francisco Trindade, Director of Engineering at Braze, to discuss strategies to improve collaboration and effectiveness within engineering teams. Francisco notes a shift in the tech industry over the past decade from focusing on rapid hiring and individual growth to a need for more effective team dynamics. Criticizing the tech industry's aversion to micromanagement, he argues that it has inadvertently resulted in a lack of focus on team effectiveness and proposes a renewed emphasis on fostering productive environments for engineers to fully realize their potential.Show Notes:Braze is hiring!Accelerate State of DevOps SurveyOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Does the emergence of feature flags affect the interpretation and utility of DORA metrics?On this week’s episode of Dev Interrupted, host Dan Lines and Ariel Perez, VP of Engineering at Split.io, discuss the state of DORA metrics and whether they need reimaging in a world of feature flags. Listen as Ariel explains why he believes feature flags are more than a tool, and have begun to reshape our understanding of software development and the metrics we use to measure it.Dan and Ariel also touch on how feature flags can drastically reduce lead time and mean time to recover, and conclude their chat with an intriguing look at the granular nature of control in the modern software engineering landscape, where the unit of control has shifted from the application as a whole to individual features. Show Notes:The Split BlogJoin the Split community on SlackRegister for our summer series!  Accelerate State of DevOps SurveyOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this week's episode of Dev Interrupted, we’re focusing on the increasingly valuable role of DevRels. Francesco Ciulla, Developer Advocate at the open-source daily.dev community - which has more than 100,000 daily active users - joins us for a DevRel deep dive.Listen as Francesco explains how a career change in his thirties set him on a path towards becoming a developer, being hired by the European Space Agency and, eventually, landing a role as a developer advocate, crediting much of his success on his ability to leverage social media to advance his career. Outside of his personal story, Francesco shares his thoughts on connecting with devs, why YouTube is such a powerful platform and settles the debate on the kind of content developers are most interested in. Show Notes:Accelerate State of DevOps SurveyFrancesco's YouTubedaily.dev | where developers grow togetherDev Interrupted YouTubeRegister for our summer series!  OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Fact: You can’t become better at anything unless you understand what getting better would actually look like. This is especially true in the case of engineering teams.Following the analysis of 2,000 dev teams and over 4 million code branches, the 2023 Engineering Benchmarks report is out.To walk us through the performance metrics of the top 10% of engineering teams, LinearB’s Head of Developer Relations Ben Lloyd Pearson makes his first Dev Interrupted appearance.From how long elite teams take to complete code tasks to the size of their pull requests, this is a great episode to understand where your dev team stands and where they have concrete room to improve.Show Notes:Accelerate State of DevOps SurveyEngineering Benchmarks Report 2023Iconiq's Engineering Efficiency ReportRegister for our summer series!  OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The world is what we make it. Tech - and AI - follow the same principles. On this week’s episode of Dev Interrupted, we sit down with Christina Enchevta, a Director of Engineering at GitHub, to unravel the link between the values we hold and the things we build. We delve into how AI applications mirror our values, intentionally or not, and how this can lead to surprising outcomes, no matter how benevolent our intentions.Christina also shares practical advice for engineering leaders on how to take and provide constructive feedback, dismantle information silos, and infuse your values into the product development process.Show Notes:Accelerate State of DevOps surveyemergent worksGitHubRegister for our summer series!  OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The push for digital accessibility aims to ensure equal access and inclusion for all individuals. So why are healthcare companies failing to keep up? In this week’s episode of Dev Interrupted, we sit down with Plum Ertz, Director of Engineering at Ro, to dissect healthcare’s digital accessibility problem. Following explosive growth in telemedicine due to consumer behavior changes brought on by the pandemic, the healthcare industry has struggled to provide accessible healthcare services on the internet, regardless of the technology or disability someone may have. Plum sheds light on the work being done at Ro to address these challenges, emphasizing the simple steps that teams can take to enhance their digital accessibility. Plum also shares stories from her time at Buzzfeed, where she accidentally took down the entire site after forgetting a semicolon and once mistakenly calling a midterm election 5 hours too early. Show Notes:Ro is hiring!Register for our summer series! OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Remote, hybrid, or in-office? Opinions are divided on what has quickly become one of the most controversial topics in tech: Should we return to the office and if so, how and when?On this week’s episode of Dev Interrupted, we sit down with Duolingo’s Sr. Director of Engineering Fabio Lessa, to discuss how to successfully transition your engineering org back to the office - and why Duolingo has done it so successfully. [Hint: it all starts with culture.] Fabio also discusses Duolingo’s training program for first-time managers, the transition from IC to team lead, and tips to roll out a training program at your company.Show Notes:Duolingo is hiring!Register for our summer series! OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

As the milestone book Atomic Habits laid out, the key to life-changing habits is adopting one effectively and then layering another desirable habit on top of it.The same is true for efficiencies in software engineering.When your team adopts one efficiency, sees it bear fruit, then adds the next efficiency habit on top of it, the result is compounding efficiencies.In this conversation, LinearB’s CTO Yishai Beeri reveals the data on compound efficiencies as experienced by real dev teams out in the wild.Show Notes:Learn more at linearb.io/benchmarksRegister for our summer series! OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Imagine a future where anyone can be a musician. Now ask yourself what that has in common with building Twitter Spaces. The answer? Org-based innovation. On this week’s episode of Dev Interrupted, we’re joined by the talented Pablo Jablonski, the engineer responsible for leading the team behind Spaces. Today, Pablo is reshaping the music industry as the VP of Engineering at United Masters. In this free-flowing conversation we unravel the intricacies of building Spaces, discuss Twitter’s pivotal role in public discourse and break down some of the historic challenges faced by Twitter’s engineering team.  Pablo also explores how United Masters is bridging the gap between artists and their dreams, empowering them to take control of their own destinies. Taking cues from his time at Twitter, Pablo and his team are building a platform that aims to dismantle the music industry’s traditional hierarchies. Show Notes:Register for our summer series! Learn more about United MastersOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

On this week’s episode of Dev Interrupted, we talk to Liz Rice, Chief Open Source Officer at Isovalent, and author of the book Learning eBPF: Programming the Linux Kernel for Enhanced Observability, Networking, and Security. Liz is an expert on open source, containers, and cloud-native technologies, and joins us to discuss her book, what she describes as some of the eBPF "superpowers" people are talking about, and some of the fascinating projects surrounding eBPF like Project Kepler. Liz also gives advice to engineers looking to try their hand at writing a book. Show Notes:Register for our summer series! Check out Liz's book: https://isovalent.com/learning-ebpf/Isovalent's labs: https://isovalent.com/resource-library/labs/OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The tech industry has seen a significant change in the skills, qualifications, and titles listed in job postings over the past few years. What does that mean for companies - and for the candidates themselves? On this week’s episode of Dev Interrupted, we talk to Maryam Jahanshahi co-founder and Head of R&D at Datapeople, who breaks down the biggest hiring trends in tech from title inflation to salary transparency and the skyrocketing costs of recruitment. Maryam also discusses how the storytelling skills she picked up from data analysis have improved her abilities as a founder.Show Notes:Register for our summer series! Datapeople's Tech Hiring ReportOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Do our personal learning preferences actually affect how well we learn? And what makes learning new skills - like a programming language - so hard in the first place? On this week’s episode of Dev Interrupted, we’re joined by Hywel Carver, founder & CEO at Skiller Whale. An expert in the principles and practices behind learning and knowledge retention, Hywel walks us through the best learning techniques for engineers. He also discusses how engineering leaders can upskill their teams without hiring additional staff, why modern approaches to learning often fall short (think YouTube), and why there is no evidence to support the idea that personal learning styles, such as visual or kinesthetic, impact learning outcomes.Show Notes:Register for our summer series! Check out Skiller WhaleListen to Skiller Whale's podcast: The Pod Presents: Primarily Context-BasedOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

If you think your org doesn’t have any incidents, it’s time to change your definition of an incident.This week we’re joined by Nora Jones, Jeli's founder & CEO, to help us make sense of incident analysis and explain why so many incidents go underreported. Before beginning her journey as a founder, Nora helped pioneer chaos engineering at companies like Netflix and Slack where she developed a passion for understanding the intersection of software and people. A stellar engineer, manager & founder, we caught up with Nora on the heels of her keynote address at the LeadDev conference in New York. Show Notes:Register for our summer series! Howie: The Post-Incident GuideJeli's website: https://www.jeli.io/OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Engineers make great entrepreneurs. So a startup that has two engineers as its founders must be twice as good, right? Not exactly. On this week's episode of Dev Interrupted, we talk to Jake Lumetta, founder & CEO of ButterCMS. A serial entrepreneur, Jake found success (and failure) with numerous startups before striking it big with ButterCMS.He joins us today to discuss practical advice for engineers-turned-entrepreneurs, like knowing when to step away from the keyboard and handover the codebase, why building a B2B startup is so much easier than building a B2C, and why two engineers founding a company together isn't always a good idea.Show Notes:ButterCMS is hiring: https://buttercms.com/OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It hasn't been smooth sailing for startups this year. As this week's guest Nick Cobb puts it "You can add bank runs to the list of things founders have to deal with." Of course, it hasn't been easy going for engineering leaders either. That's why Nick, the VP of Engineering & Head of Product at Kyte, sat down with us to discuss how to build an engineering culture with a bias toward action, why he deleted his team's staging environment, and what it takes to outmaneuver his former employer, Uber. An angel investor, Nick also touches on the aftershocks of the SVB crash and its lasting effects on the startup community.Recorded live at LeadDev New York, this episode is a must-listen for engineering leaders who want to place product innovation in the driver's seat of their engineering org.Show Notes:Watch this episode on Youtube!OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What does building an engaged community really mean for your business? When we look at a company like Postman with over 20 million active users and one of the most passionate groups of evangelizers in tech, we find that Postman's story is really a story of community success. In fact, after product-market fit, community has become a must-have for any startup looking to survive.  But community building is a tricky thing, so where and how do you start? On this week's episode of Dev Interrupted, listen as Joyce Lin, Head of Developer Relations at Postman, shares the secrets and behind-the-scenes lessons learned from building one of the most successful communities in tech. Joyce is also an expert TikToker, diving into its algorithm, its relevance for developers, and whether or not engineering leaders should devote attention to building a community on the platform. Show Notes:Joyce's TikTok: https://www.tiktok.com/@joycejetsonOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

"DevOps is dead."Well, not exactly. But the DevOps methodology of "you build it, you run it" has been failing development teams for years.On this week's episode of Dev Interrupted, we sit down with Kaspar von Grünberg, founder & CEO of Humanitec. Listen as Kaspar explains the significant cognitive load placed on developers as a result of DevOps practices, how that has caused software engineering to be the only industry since Medieval times not to drive towards specialization, and why platform engineers provide a solution to the outdated DevOps model.Show Notes:What is platform engineering?Implementing Dynamic Configuration Management with Score and HumanitecAttend PlatformCon 2023 June 8th and 9thOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs?That's the question posed by authors Matthew Skelton and Manuel Pais in their highly-acclaimed book, Team Topologies: Organizing Business and Technology Teams for Fast Flow.On this week's episode of Dev Interrupted, we revisit Dan's 2021 conversation with Matthew and Manuel. Since first airing, their book has received broad recognition for its step-by-step advice, approach to team patterns and interactions, and compelling analysis of the communication pathways that lead to organizational success. We think this episode is as relevant today as it was when it was released - and we hope you agree!Show Notes:Learn more at teamtopologies.comCheck out the Team Topologies Academy: https://academy.teamtopologies.comOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It's time to make noise. Developers need to take back their happiness and their productivity. But where should they start? On this week's episode of Dev Interrupted, we're joined by Justin Reock, Field CTO and Chief Evangelist at Gradle. With a mission to mitigate the toil, friction, and frustration felt by so many developers, Justin has become a tireless advocate of Developer Productivity Engineering. Listen as Justin explains DPE by exploring the connections between productivity, developer experience, and joy. Show Notes:Gradle's Developer Productivity Engineering HandbookRead: Is Developer Productivity Engineering the Next Big Thing in Software?DPE SummitOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

No company is immune to transformation, not even one with as storied a history as IBM. This week on Dev Interrupted, Rosalind Radcliffe, the CIO DevSecOps CTO at IBM, joins us to chat about how one of tech's greatest legacy companies is positioning itself for the future. Rosalind shares what it means to be named an IBM Fellow, her work to bring DevOps and open source to the z/OS environment, and what the future looks like at IBM. [Hint: it involves quantum computing and AI!]OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Whether you're at a startup, enterprise, or something in between, authorization and access control are likely major pain points for your team. This week on Dev Interrupted we talk to Omri Gazitt, co-founder and CEO of Aserto. Omri joins us to chat about the future of authorization, how to handle access control on your team, and how to avoid the toil and tech debt often associated with access control.  Show NotesFrom Aserto's blog: Why multi-tenant SaaS applications need real access control from day 1OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The days of growth at all costs are over; your 2023 engineering strategy needs to be about scaling efficiently.In the first Labs episode of the year, Dan invites LinearB's VP of Product, Eran Shitrit, on the show to discuss how teams are proactively addressing concerns around cost reduction and efficiency through smarter project allocation.Dan and Eran also discuss the rollout of LinearB's resource allocation dashboard and the success of the Scaling Developer Efficiency workshop.Show NotesWatch the Scaling Developer Efficiency workshop on LinearB's YouTube channel: https://www.youtube.com/watch?v=O-wpLDnMpX0OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

A decades-old physical goods manufacturing concept is being applied to modern dev teams with great results. What can software development learn from the past?Value Stream Management (VSM) has been a focus of business and manufacturing for years but big tech has only recently taken notice. Steve Pereira, a.k.a. "The VSM Guy", joins us to talk about what engineering leaders can learn from VSM, its impact on individual and team workflow, how it differs from Agile and DevOps, and why its emphasis on the creation and delivery of value represents an opportunity for dev teams everywhere. Show NotesSteve's Twitter:  @SteveElsewhere Bain's B2B Elements of Value and B2C Elements of ValueLearn how to increase your dev team's efficiency by up to 30% at our free Scaling Developer Efficiency workshop on February, 15th. Register: linearb.io/efficiencyOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Tracking Mean Time To Restore (MTTR) is standard industry practice for incident response and analysis, but should it be?  Courtney Nash, an Internet Incident Librarian, argues that MTTR is not a reliable metric - and we think she's got a point. We caught up with Courtney at the DevOps Enterprise Summit in Las Vegas, where she was making her case against MTTR in favor of alternative metrics (SLOs and cost of coordination data), practices (Near Miss analysis), and mindsets (humans are the solution, not the problem) to help organization better learn from their incidents. Show NotesCheck out Courtney's The Void podcastOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

We're still in January and AI might already be the buzzword of 2023 - and for good reason. AI powered startups have been layoff resistant and machine learning engineers are one of the fastest growing jobs, not in tech, but in the entire economy. This week, we sit down with Pinecone Founder and CEO, Edo Liberty.  An AI and machine learning expert, Edo graduated from Yale with a PhD in Applied Mathematics and worked as Head of Amazon’s AI Labs before founding Pinecone.Listen as he explains why the biggest AI and machine learning companies in the world - Google, Amazon, Meta and TikTok - use vector search to power their products.Show NotesPinecone is hiring! https://www.pinecone.io/careers/OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

"Is my team solving the right problem?" To answer this seemingly simple question, we assembled a panel of some of the smartest engineering leaders we know and asked them how they answer this question with their own teams.Featuring Rukmini Reddy, SVP of Platform Engineering at Slack, James Stanier, Dir. of Engineering at Shopify, and Smruti Patel, VP of Engineering at Apollo, the following conversation debuted in front of a live audience at the Interact engineering conference. Originally an exclusive conversation for Interact attendees, we listened to our fans and decided to drop the full conversation as an episode of the podcast. Items of note: This panel was filmed in October prior to many of the recent layoffs that have been in the news. When this panel was recorded Smruti Patel worked at Stripe. She has since taken a job with Apollo. Show NotesOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Randy Kern, CTO at Marqeta, thinks that every engineer should "go deep" - all the way to understanding the transistors if you have to. He implores us never to be satisfied with black boxes, believing that it's not only risky not to understand what your code is really doing, but it's not fun either.We love this episode because Randy's joy is infectious. He reminds us why we got into software engineering in the first place. If you've been looking for a reminder yourself, this is the episode for you. Show NotesMarqeta is hiring - check out their career page!OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

As your startup scales it's not enough to know what to measure - you have to know WHEN to measure. Metrics that are important in one growth phase might not be in the next.To help us make sense of it all, we invited Laura Tacho onto the show. Laura is a VP of Engineering & Leadership Coach, and an expert when it comes to startup growth and metrics, having worked with over 125 different companies. We love this episode because it takes a team-first approach to metrics and then relates those metrics back to the growth of your organization. Whether you are a seasoned engineering leader or an IC trying to understand where your team is headed, this unique take on metrics will set your team up for success - and happiness - in 2023. Show NotesMeasuring Development Team Performance coursehttps://lauratacho.com/OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Happy New Year and welcome to Season 3 of Dev Interrupted! We couldn't think of a better way to kick off Season 3 of the podcast than with the immensely talented Forrest Brazeal. Not only is Forrest the Head of Developer Media at Google Cloud, but he lists being a writer, speaker, cartoonist, cloud architect and AWS Serverless Hero, among his many accolades. To top it all off, Forrest is an all around great guy with a passion for education and advocacy. That's why he's working to help educate, train and develop the next generation of cloud engineers. But he needs your help. Listen as Forrest explains why so many great engineers get overlooked by companies - and how to stop it. Show NotesCloud Resume ChallengeGoogle Cloud Next '22 Developer Keynote: Top 10 Cloud Technology PredictionsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Sit back, relax, grab your favorite beverage and listen as Dev Interrupted co-hosts Dan Lines & Conor Bronsdon recap the Season 2 of the podcast. In this special episode, our co-hosts describe their perfect holiday meal, share some of their favorite moments from the past year (personal and professional!) and give a sneak peek at what the audience can expect from Season 3 of the podcast.From our family to yours, have a wonderful holiday season and we’ll see you on January 3rd for Season 3!Show NotesDan's favorite interview: Charity MajorsDan's favorite topic: Ship/Show/AskConor's favorite interview: Kelly VaughnConor's favorite episode: DiscordWhat do you want to see for Season 3? Tell us at:Dev Interrupted LinkedInDev Interrupted Twitteremail: conor@linearb.ioOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Picture this: an auto manufacturer with no clue what parts are in its supply chain, where those parts come from and no ability to recall those parts if vulnerabilities are discovered.That’s not a reality consumers would accept. So why do organizations (and manufacturers!) tolerate it when it comes to software? On this week’s episode of Dev Interrupted, Brian Fox, co-founder & CTO, and Stephen Magill, VP of Product Innovation, join us to talk about Sonatype’s State of the Software Supply Chain Report. Listen as Brian and Stephen explain the ins and outs of open source risk management, how companies that aren’t open source maintainers can do a better job protecting themselves and why cybercrime is like “VC funds for the bad guys.” Show Notes8th Annual State of the Software Supply Chain ReportOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Sometimes among all the sprints,  the pressure to ship faster,  tools to measure lines of code written,  it seems like we as an industry forget a simple fact: developers are knowledge workers, not robotsTo remind us what it means to be a human, we invited some of the most empathetic engineering leaders we know to Interact and asked them to sit on a panel together. The conversation that followed is one of the most insightful and relevant conversations we've heard all year. Whether you are an IC, manager or manager of managers, we promise this conversation will help you become a more empathetic leader and colleague.  Today's episode of Dev Interrupted features Kelly Vaughn, Director of Engineering at Spot AI; Jean Hsu, VP of Engineering at Range; and Lena Reinhard, an engineering leadership coach.  Show NotesWatch all of Interact on the Dev Interrupted YouTube channelOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Dev Interrupted takes a detour to Vegas! In a first for the show, we took the podcast on the road to attend the DevOps Enterprise Summit in Las Vegas. While at DOES, we had the pleasure of interviewing Gene Kim, famed researcher and author of "The Phoenix Project" and "Accelerate". Also attending DOES were friends of the podcast Bryan and Dana Finster, whose presentation on the Rise and Fall of DevOps inspired us to invite them onto the pod.Listen to this two-part episode as Gene breaks down all things DevOps past, present and future, while the Finsters present their case for platform teams, project ownership and how to win the trust that binds good dev teams. Show NotesRecap all of DevOps Enterprise Summit 2022, December 6th-8thOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Bad habits have a way of resurfacing during difficult times. Unfortunately for engineering teams everywhere, this is one of those times. In this topical episode of Dev Interrupted, LinearB co-founders Dan Lines & Ori Keren discuss the current macroeconomic climate, its effect on engineering teams, and why individual metrics are - and should remain - a relic of days gone by. Our heart goes out to anyone who has been affected by the layoffs across the tech industry. Please reach out to the Dev Interrupted community if there is any way we can help.  OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

When your startup is struggling to find its product-market fit, security is the last thing on your mind - and according to security expert Matt Spitz, that’s perfectly fine! Matt is Vanta's Head of Engineering and he joins this week's episode of Dev Interrupted to  explain everything you ever wanted to know about startups and security.Matt debunks the real security risks we face (think S3 buckets, not nation states), how to create a company culture that embraces security and when your startup needs to start caring about all this stuff. Show NotesLearn more about startup security on Vanta's blogOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It's no secret this has been a difficult year for many companies in tech. The truth is, it's easy to be a leader when times are good. It's less easy in the midst of a storm. That's why we assembled a panel of some of the smartest engineering leaders we know at Interact to talk about the leadership principles that help guide an engineering organization no matter what is happening in the world. Today's episode of Dev Interrupted features Michael Stahnke, VP of Platform at CircleCI; Lewis Tuff, VP of Engineering at Blockchain.com; and Carolyn Vo, Partner & Head of Engineering at Oliver Wyman. Show NotesWatch all of Interact on the Dev Interrupted YouTube channelOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Live from Interact, we're bringing you an interview with our favorite CTO, Charity Majors. Never one to be shy about speaking her mind, Charity is an outspoken advocate for devs everywhere - and this passion made her a fan favorite at Interact. Listen as Charity discusses her career, why the hierarchy is bullshit (disclaimer: she likes to swear - we like that about her), and why platform engineering is the most exciting place to sit in computing today. Show NotesLearn about the power of Continuous MergeCharity's blogJoin the Dev Interrupted DiscordWant to try LinearB? Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Hosts Dan Lines & Conor Bronsdon remind listeners that Interact is today - October 25th - and why it's the must-attend event for engineering leaders. They also rundown some of the most exciting speakers at Interact, why they are so proud of what the event has become - and which of the two is Robin to the other's Batman. Join Dan & Conor and thousands of other engineering leaders at Interact. Watch them live from 8am-2pm PDT today: https://hopin.com/events/interact-october#schedule You can also register at: https://devinterrupted.com/event/interact/OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

How does a platform with 150 million monthly active users build for the future? In a word: Developers. Discord is betting big that the future of their company, their product and their community is in supporting developers - and they're putting their money where their mouth is.   On this week's episode of Dev Interrupted, Anjney Midha, Discord's VP of Platform Ecosystem, sits down with us to discuss Discord's past, present and future. In this incredible episode, Anjney details Discord's recent product announcement, its spiritual connection to gaming, and why a totally moddable platform is the key to user experience.  Show NotesRegister for Interact on October 25thJoin the Dev Interrupted DiscordLearn about the power of Continuous MergeDiscord's announcementDiscord's Developer PortalWant to try LinearB? Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Where has all the focus time gone? Why does there seem to be less of it at big companies than at startups? And do managers really have as little as they claim?It should come as no surprise to our listeners that we're big fans of data here at Dev Interrupted. The coolest thing about having Dan Kador, VP of Engineering at Clockwise, on the show is that he brings data we already intuitively understood but could not quantify.Armed with data from 1.5 million meetings, 80,000 engineers and over 5,000 companies, this episode answers every question your engineering team has wondered about meetings - and might just reaffirm every suspicion you've had too. Show NotesRegister for Interact on October 25thLearn about the power of Continuous MergeThe 2022 Software Engineering Meeting Benchmark ReportSign up for Clockwise at getclockwise.comWant to try LinearB? Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The argument about which programming language reigns supreme is about to get a lot more clear with the release of research on the best and worst languages for dev workflow.In this episode of LinearB Labs, CTO Yishai Beeri reveals what the company’s data scientists have discovered about programming-language productivity following analysis of thousands of dev teams and hundreds of thousands of pull requests.Industry-changing research on which programming languages linger under excessively long shipping lifespans and which ones are impressively efficient, this pod should help settle debates that have been entirely subjective up to this point.If your programming language of choice ends up on the wrong side of the spectrum, don’t fret. Yishai and team also came up with recommendations to overcome the hurdles and bottlenecks for languages that require better workflow.Show NotesRegister for Interact on October 25thLearn about the power of Continuous MergeWant to try LinearB? Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

When you get the chance to geek out over the metrics behind happy dev teams, you take it.As one of the companies shaping how the modern workforce, well… works, Atlassian is one of the foremost thought leaders in the space thanks to an amazing research and data team.Case in point: Atlassian’s State of Teams Report.In this week’s episode, modern work evangelist Mark Cruth takes us through the most interesting, insightful and counterintuitive findings from their deep dive on what is separating healthy teams from unhealthy ones.From whether hybrid or in-office is the best for modern teams to what work principles are the most important to keep in a remote world, this conversation about the State of Teams report is an eye-opener for anyone whose success depends on the work of others.Show NotesRegister for Interact on October 25thLearn about the power of Continuous MergeAtlassian's State of Teams ReportWant to try LinearB? Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Branching strategy has been reimagined. Meet the mind behind it. In his first-ever podcast appearance, Rouan Wilsenach, author of Ship/Show/Ask: A Modern Branching Strategy, joins Dev Interrupted to talk about his work as an author and the inspiration behind his musings on branching strategy. If you haven’t already read Ship/Show/Ask, you can find it on Martin Fowler’s website. It’s one of the most influential articles we’ve read in years. Rouan has been more than an inspiration, he’s changed the way our dev teams work at LinearB - and he might just change yours too. Show NotesRegister for Interact on October 25thLearn about the power of Continuous MergeImprove your standups with funstandups.comWant to try LinearB? Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In the last decade there have been enormous advances in infrastructure and ops, so why does it suck to build stuff? That’s the question Tanmai Gopal kept asking himself before founding his company, Hasura. Now, as Hasura’s CEO he’s channeling his chaotic energy in order to solve this problem. This week’s episode of Dev Interrupted implores listeners to forget about pivoting (it’s just the story other people impose on your journey), shames backend devs for their elitist tendencies and asks why, if Netflix won the battle for infrastructure, are they losing the streaming wars to Disney?Show NotesRegister for Interact on October 25thLearn about the power of Continuous MergeHasura's Enterprise GraphQL ConferenceWant to try LinearB? Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Today, we are releasing the full interview of one of our favorite episodes: Dan’s 2021 conversation with engineers-turned-authors, Hyrum Wright & Titus Winters.As two of the most senior staff engineers at Google, both guests brought a deep understanding of software engineering to the show: Hyrum is semi-famous as the "Hyrum" of Hyrum's Law; while Titus is responsible for managing 250 million lines of code.In their brilliant book Software Engineering at Google: Lessons Learned from Programming Over Time, Hyrum & Titus explore the engineering practices that make one of the largest codebases in the world sustainable and healthy. Show NotesRegister for Interact on October 25thLearn about the power of Continuous MergeDownload their book: Software Engineering at Google: Lessons Learned from Programming Over TimeWant to try LinearB? Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Your early tech stack decisions won’t ensure long term success, but they can certainly set you up for long term failure. Pragmatists rejoice! This week’s episode of Dev Interrupted features Sam Lambert, CEO & President of PlanetScale, a tech leader known as the ‘Oracle of Pragmatism’. In a winding conversation that touches on Sam’s time at GitHub, where he helped the then 40th most-trafficked website in the world run on just 2 servers, to his experience working at Facebook where he learned that you don’t need to sacrifice quality in order to move fast, this episode has the insights you need to make straightforward, no BS decisions about your tech stack. Or as Sam says, learn how to avoid “the new hotness” in order to build a culture that reflects the often boring decisions that make or break a company. Show NotesRegister for Interact on October 25thLearn about the power of Continuous MergeCheck out PlanetScaleWant to try LinearB? Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The unofficial first rule of engineering: When the minds behind the world’s most valuable startup, Stripe, want to talk about making better dev orgs, you listen.In this episode of Dev Interrupted, Stripe’s Head of Engineering Smruti Patel joined us to talk about the daily, weekly and yearly engineering decisions that have engineered the company’s meteoric success.Smruti has a gift for making the logic behind make-or-break strategic decisions digestible for every engineer, regardless of where they are on the company ladder.With a breadth of wisdom on what it takes to make tough decisions based on tradeoffs, opportunity cost and developer bandwidth, Smruti Patel’s insights can be applied to any org – even ones worth less than $100 billion!Register for Interact on October 25th: https://devinterrupted.com/event/interact/ Learn about the power of Continuous Merge: gitstream.cmContact Smruti: https://www.linkedin.com/in/smrutirp/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Fact: The state of pull requests is broken and we finally have the data to prove it. In our latest LinearB Labs episode we reveal the information that has led us to the inevitable conclusion that pull requests have become a massive source of toil, bottlenecks and a huge barrier to shipping.Better yet, two people who have been thinking about how to attack this dev workflow issue – Dan Lines and Ori Keren of LinearB – are ready to actually propose a solution: continuous merge.The next step in CI/CD, continuous merge is the concept of creating lanes where pull requests can be merged based on their risk. Plain and simple, pull requests should not all be treated the same.The first step in continuous merge proposed in the episode is the dev tool gitStream, which automates and optimizes merging pull requests based on risk and level of attention required.A game-changing conversation, this episode is the first time you might hear about continuous merge but it certainly won’t be the last.Learn about the power of Continuous Merge: gitstream.cm Register for Interact on October 25th: https://devinterrupted.com/event/interact/ Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Everyone who manages a team would like to think that their employees admire them as individuals and as leaders. That you make an impact on those employees while they work under you and long after you end up moving to new companies and opportunities.One such engineering leader who has mastered the mix of manager, friend and mentor is Carolyn Vo. A Partner and Head of Engineering at Oliver Wyman, Carolyn is one of engineering’s leading advocates on the benefits of creating a culture of approachability, tinkering and healthy levity. In fact, in our conversation, Carolyn makes a strong argument that without honing the art of approachable management, not only does productivity suffer, but engineers are consistently looking for the door.One of our liveliest pods to date, we hope you can absorb Carolyn’s insights and energy no matter where you are on your leadership journey.Access the engineering benchmarks report here: http://linearb.io/benchmarks/Register for Interact on October 25th: https://devinterrupted.com/event/interact/ Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Like every other team-based profession, engineering needs leaders. But identifying a true, tested and proven road for taking a programmer and putting them in a position of managing projects & priorities is still a work in progress.That’s why I was so excited to speak with Rajah Kalipatnapu, Global Head of Product Engineering at Equinix. One of the most experienced minds in building world-class engineering orgs, Rajah credits his success with focusing on different ways to incrementally identify leaders and empower them to be the managers their business needs and their colleagues admire.From his unique perspective on creating CEOs for features to dealing with beloved employees who can’t code up to the teams’ needs, Rajah’s theories on how and when to let your developers step up to the moment need to be heard.Access the engineering benchmarks report here: http://linearb.io/benchmarks/Register for Interact on October 25th: https://devinterrupted.com/event/interact/ Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Not only is Kelly Vaughn one of the pioneers in building thought-leadership content for the developer community, she’s one of the rare programmers who comes to the craft with the background of a trained therapist.From knowing what content devs need to grow to being able to recognize the cognitive-behavioral impacts of the developer experience, Kelly Vaughn is truly one of our most unique guests to date.In our conversation, Kelly leveraged her background as a therapist to explore what dev orgs should be doing to recognize developers as unique human beings, with their own feelings, motivations and biases.A discipline-crossing discussion, this pod is invaluable if you’re thinking about what a healthy dev team should look like as well as how to build one.Access the engineering benchmarks report here: http://linearb.io/benchmarks/Register for Interact on October 25th: https://devinterrupted.com/event/interact/ Kelly's book recommendations: Crucial Conversations, The First 90 DaysWant to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In a field like engineering, to have a truly unique 30,000-feet view of the profession, you need someone with 30 years of experience in adapting, innovating and creating in the space.That’s why we were so excited to talk to Drew McManus, CEO and Cofounder of 33 Teams.An engineer who’s helped shape the formative years of Apple, Adobe and so many more companies you have on your phone right now, Drew McManus is now advising rapidly growing dev orgs across the world at 33 Teams.Drew is an oracle (no pun intended) on how to see dev orgs as living organisms, identifying the structural, psychological and technological maladies keeping teams from becoming who they aspire to be.In our conversation, we touch upon everything from tech debt, to unlocking creativity to the all-too-common danger of shipping at all costs.If ever there was a way to download 30 years of engineering leadership in one hour, this is it.Access the engineering benchmarks report here: http://linearb.io/benchmarks/Register for Interact on October, 25th: https://devinterrupted.com/event/interact/ 33 Teams website: https://www.33teams.com/ Contact Drew: drew@33teams.comWant to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

There’s an open secret about open source: Developers use it. Teams use it. Businesses use it. But no one really thinks about how they contribute to it.That’s why we jumped at the chance to get a state-of-open-source discussion with Gitlab’s John Coghlan, Senior Manager of Developer Advocacy.Someone who joined the open source community with the goal of making developers’ lives better, John came to the table with a wealth of insights into just how individual engineers leverage open source, how businesses leverage it and, most importantly, how to make our relationship with open source better - not just for you and me, but for the community as a whole.We hope you find this candid conversation on how to be thinking about using open source in the right ways as empowering and insightful as we did!Access the engineering benchmarks report here: http://linearb.io/benchmarks/Register for Interact on October, 25th: https://devinterrupted.com/event/interact/ GitLab Commit: https://about.gitlab.com/events/commit/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Not all dev orgs work in all situations. Especially if your dev org is looking to completely reshape and disrupt an entire industry.That’s why we were so excited to talk to Chris Bee, CTO of Lessen.Lessen is looking to change the way property owners hire vetted professionals for renovation, maintenance and turn services. That means so much of what their programmers are building hasn’t been built before.Chris opened up about how the company trains and empowers developers to design and build things customers didn’t know they wanted. He also goes in depth about how to bring those new ideas to market when it can seem like the ground is shifting every minute.Access the engineering benchmarks report here: http://linearb.io/benchmarks/Lessen's website: https://www.lessen.com/ Chris' website: https://www.chrisbee.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Fact: There are guidebooks for everything in programming except for actually leading, managing and inspiring programmers.That’s why I was so happy to have my friend Zach Goldberg on the podcast.Someone who has made learning and self-improvement a core pillar of his professional and personal life, Zach Goldberg is someone who I turn to when I need to know who smart CTOs are turning to.In this great conversation, Zach talks about the most important things he’s learned in separating signal from noise in the realm of engineering leadership. He also provides some amazing guidance on who you should be listening to (when you’re not listening to us). Enjoy.Access the engineering benchmarks report here: http://linearb.io/benchmarks/Zach's reading list: http://go.zachgoldberg.com/readinglistWant to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

With registration for our free October Interact conference now open, we wanted you to hear one of our favorite sessions from this past April’s Interact.Featuring the best minds from Slack, Netlify and Ambassador Labs, our session on Inspiring Engineering Leaders & Driving Developer Creativity turned into one of the best conversations we’ve ever heard on topics like dev toil, dev focus and dev burnout.This is a great preview of the type of content we’re working on for our conference in October, and this panel completely made us rethink how we approach burnout at LinearB.If you like it as much as we do, be sure to sign up for October’s free, virtual Interact conference at: https://devinterrupted.com/event/interact/Access the engineering benchmarks report here: http://linearb.io/benchmarks/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In an industry that has trouble looking beyond the next sprint, it’s good to know there are very smart people researching the conscious and unconscious pain points keeping devs from focusing on what they actually want to do: code.In our new series LinearB Labs we’ll be looking at the most interesting research on how devs work, communicate and code.The best way to start should be understanding what is actually a well-performing engineering org versus one that’s struggling. That’s why we’re so excited to have Ori Keren, co-founder of LinearB, as our first guest to discuss the results of the first-ever “Engineering Benchmarks Report.”The product of comprehensively analyzing the work of almost 2,000 dev teams, “The 2022 Engineering Benchmarks Report” is the first EVER look at what performance metrics make engineering orgs elite, average or underwhelming.We hope you enjoy this conversation as much as we did and that you’re able to find out where your dev team ranks as well as concrete ways to improve.Access the engineering benchmarks report here: http://linearb.io/benchmarks/Compare your team metrics to industry standards in Get My MetricsWant to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Join our Discord Community ►► discord.gg/devinterruptedHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The last thing anyone who does great work should be doing is having to take time out from doing great work to promote it to their higher-ups. Unfortunately, until the person you report to achieves omnipotence, you’re going to have to make sure their perception of your work lines up with the quality.In fact, when we asked our community what issue they would want professional coaching on, it was this: How to improve the impression of your work.With the help of the great Lena Reinhard, engineering & executive coach, we’re giving a practical solution to this problem.Designed as a real-time workshop where you should be thinking about the questions and answering them yourself, this was a game-changing conversation for us and hopefully a game-changing way for your work to get the respect it deserves.Access the engineering benchmarks report here: http://linearb.io/benchmarks/Lena's website: https://lenareinhard.com/Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

When you think of a billion-dollar tech company, you probably imagine rooms full of monitors with dashboards and non-stop data streams.Well, after talking to Hippo - a certified unicorn and newly minted giant in the insurance industry - we realized this couldn’t be further from the truth.Mike Gordon, VP of Engineering at Hippo, sat down with Dev Interrupted to chat about what it’s actually like to run the dev teams powering a company that just passed a $1 billion valuation.His insights about what actually matters to him were amazing for how simple, focused and – brilliant – they are.A great conversation on what’s important to a company re-writing the rules of insurance, Mike Gordon is by far one of the most thoughtful-yet-pragmatic minds we’ve had on yet.Access the engineering benchmarks report here: http://linearb.io/benchmarks/Hippo is hiring: https://www.hippo.com/careersJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Almost every single company we talk to focuses on having their engineering teams solve problems.This is why we jumped at the opportunity to talk to Joshua Romoff from Ubisoft.Why? The goal of gaming companies isn’t so much to solve problems, but to enrich their customers’ lives.That’s a unique, powerful change in how to think about building, developing and shipping features. Something that required Ubisoft to bring in Research Scientists like Joshua to figure out just what it is customers engage with in their games and how to give them more of it using AI.Whether or not you're a gamer, this is a fascinating conversation on how every engineering team should think about building self-improving features.Dev Interrupted survey: https://www.surveymonkey.com/r/PRYRNC5Access the engineering benchmarks report here: http://linearb.io/benchmarks/Ubisoft La Forge's website: https://montreal.ubisoft.com/en/our-engagements/research-and-development/Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

If you’re doing your job right, most of your time and your team’s time should be spent actually building things. That means conversations should be reserved to the very important ones.In our latest Dev Interrupted episode, Reprise’s Director of Engineering Jennie MacDougall looks back on the most useful conversation she has ever had with her devs that are also the ones she encourages them to have with others.From the most important conversation when evaluating a prospective dev to the question that actually keeps engineers motivated and invested, this was an incredible download of things I started doing right after the recording was finished.Dev Interrupted survey: https://www.surveymonkey.com/r/PRYRNC5Access the engineering benchmarks report here: http://linearb.io/benchmarks/Reprise's website: https://www.getreprise.com/Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

There are so many books, videos and workshops on starting your own company. The problem for anyone listening to this podcast is that none of them come from the perspective of a developer.That’s why we were so excited that the founder & CTO of Drata, Daniel Marashlian – who has previously founded eight companies before hitting a billion-dollar valuation with Drata – was open to talking about what it’s like to build a company from a coder’s perspective.From the signs you’re an entrepreneur at heart, to filling out your skills gap to leaning in to the edge you have with your background, this episode of Dev Interrupted is essential listening for anyone who can code - or anyone who has dreamed of founding their own company. Dev Interrupted survey: https://www.surveymonkey.com/r/PRYRNC5Drata's website: https://drata.com/Daniel's Screw Up story: https://bit.ly/3LbLHCXJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

At LinearB, we like to think we spend all our time figuring out how to unlock developer potential. To find ways to let devs do more of the work they love and reduce the amount of time they spend dealing with needless hurdles, idling and churn.We’re not the only ones thinking about how to do this, though. At our recent INTERACT panel, we assembled amazing engineering leaders from Netflix, FloSports and the Refactoring.club newsletter to give us their inside knowledge on how they increase productivity and promote creativity in their own organizations.One of the highlights of our INTERACT conference, this panel conversation is filled with real wisdom and takeaways we hope you can apply to your own teams the moment it’s over. Enjoy - and don't forget to fill out our very first listener survey! Dev Interrupted survey: https://www.surveymonkey.com/r/PRYRNC5Miss INTERACT? Watch it all on our YouTube channel: https://tinyurl.com/494tpm96Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Few companies have mastered making products consumers actually want to use like Toast.A $30 billion giant in the tech-food business, Toast faced their worst case scenario during the pandemic when the restaurants at the heart of their business were all forced to shut down.Toast rose like a phoenix to become one of the best success stories of pivoting during the pandemic by making users love using their food delivery systems.To understand how Toast became one of the great success stories of the last 2 years, we spoke to Brad Pielech, the company’s Director of Engineering.An amazing conversation that’s informed how we think about product at LinearB, Brad made a flawless case for the importance of UX - and why the alliance between UX and devs at Toast produced a market-beating pivot that took the company from unicorn to brink of collapse and back again. Toast is hiring: https://careers.toasttab.com/jobs/searchBrad's LinkedIn: https://www.linkedin.com/in/bradfordpielechJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What do the teams at Stack Overflow, DataStax and Reprise have in common?First, they’ve all built amazing organizations powered by amazing developers. Second, they’ve managed to build and retain these amazing developers in an ultra-competitive hiring market.Third, they all took time at our recent INTERACT conference to discuss how they created engineering organizations that are productive, successful and - best of all - happy.It’s a rare treat to have this many amazing minds on one live panel and we couldn’t be more excited to share their insights, wisdom and advice to the community at large.Quick note, if you notice a tiny fluctuation in the audio quality for each speaker, it’s because this was recorded live at INTERACT.Enjoy!Miss INTERACT? Watch it all on our YouTube channel: https://tinyurl.com/494tpm96Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

You ever get the feeling that the way most companies are set up doesn’t really make sense?That the passion you have for coding and tech gets sucked out when you do it for a business, instead of it being amplified?Matt K. Parker had that realization… hard.A third-generation programmer, Matt’s epiphany that there was something wrong with the way the majority of the world sets up its teams and workplaces led him on a journey to explore the way the world’s best companies operate.After diving into case studies, academic research and leveraging his own professional experience, Matt concluded that the most productive companies all had one thing in common: They were radical.Radical in how they structure their employees. Radical in how they treat their employees. Radical in how they empower their employees.Fortunately for us, Matt stopped by Dev Interrupted to share some conclusions from his new book “A Radical Enterprise: Pioneering the Future of High-Performing Organizations.”One of our favorite recordings to date, this is your ticket if you’re looking for some inspiration on how to increase productivity while decreasing BS.Matt's book:A Radical Enterprise: Pioneering the Future of High-Performing OrganizationsJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

If you looked up the term “firing on all cylinders” in the dictionary, I’m fairly confident there would be a picture of Sarvenaz Myslicki next to it.A next-gen leader who earned the role of VP of Technology at American Express by the age of 30, Savernaz is a published author, an in-demand thought-leader on mentorship and has one of the largest followings on programmer TikTok.Our favorite thing about Sarvenaz, though, is that all her work is aspirational but radically inclusive. She tailors her message, content and guidance based on wherever someone is in their professional journey – even if they’re just tinkering with code in a junior high classroom.Sarvenaz joined us and 1700 other engineering leaders for an incredible live conversation at our INTERACT conference about the real trial and errors that have led to her role at Amex, as well as the beliefs, mindset and rituals that have allowed her to become a mentor for developers she’s never met.We hope you enjoy this discussion as much as we did.AMEX is hiring: americanexpress.com/techcareersSarvenaz's TikTok: https://www.tiktok.com/@sarvenazmWhat Sarvenaz is reading: Bury My Heart at Conference Room B: The Unbeatable Impact of Truly Committed Managers Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In so many professions, the reward for exceptional work is a promotion to management. Unfortunately, for developers whose programming gets them singled out for promotion, the skills to manage a team have nothing to do with the work that got them recognized in the first place.James Stanier, Director of Engineering at Shopify, understands the pitfalls of being promoted from an IC to an engineering manager, and began writing as a way to think through the mistakes he himself was making. Today, James is an accomplished author; his first book Become An Effective Software Engineering Manager debuted in 2020, and his second book Effective Remote Work was published earlier this year.   On this week’s episode of Dev Interrupted, James talks about how developers can prepare themselves for a role in management, or alternatively, why they should avoid a career in management altogether. He also discusses why Shopify loves remote pair programming, how to find your voice as a developer and why writing a book can be a spiritual experience. Don't miss your chance to register for INTERACT on April, 7th: https://devinterrupted.com/event/interact/James is the author of two books:Effective Remote WorkBecome An Effective Software Engineering ManagerJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The world is shortly going to need another 20 million developers  and with over 1,000 engineering leaders joining us for INTERACT on April 7th, there’s no better time to talk to two people who have captured the minds of millions of developers - and will be featured at INTERACT - Tiffany Janzen and Masha Zvereva.In addition to their own tech careers, both women have become prominent voices in the dev community, Tiffany is most well-known for her Tiff in Tech Youtube channel and Masha for her company Stereotype Breakers.Tiff and Masha spend their time connecting, communicating and inspiring the next generation of devs. They’re the ideal experts to dive deep on how Gen Z devs think and what they want.That’s why we were so happy when they agreed to sit down for an episode of Dev Interrupted to give us some incredible insights on what it’s going to take to recruit, hire and retain the millions of new developers who are joining the workforce. If you want to join Tiffany and Masha at INTERACT on April 7th, it’s easy: Just register at https://devinterrupted.com/event/interact/See you there!Tiff in TechYouTube: https://www.youtube.com/c/TiffInTech/featuredInstagram: https://www.instagram.com/tiffintech/?hl=enTikTok: https://www.tiktok.com/@tiffintech?lang=enMasha Zvereva, Stereotype BreakersWebsite: https://www.stereotypebreakers.com/Instagram: https://www.instagram.com/stereotypebreakers/?hl=enYouTube: https://www.youtube.com/c/StereotypeBreakers/featuredJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discounOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Modern problems require modern solutions, right? The problem is, it’s becoming increasingly difficult to understand what solutions are required for a given problem and even harder to task a team with finding them. That’s why Bob Ritchie, VP of Software at SAIC, thinks the top-down management model is dead. To replace it, Bob is championing a “team of teams” model that provides his developers with far more autonomy - so much, in fact, that they can even self-elect their leaders. On this week’s episode of Dev Interrupted, Bob discusses the challenges of software development in an increasingly dynamic environment, why he believes developers should be no further than 4 steps away from their CEO and the historical challenges of connecting results in Silicon Valley to those in the federal government. Who would've expected a federal government tech integrator (Science Applications International Corporation), to be on the leading edge of developer autonomy?Learn more about our INTERACT conference on April, 7th: https://devinterrupted.com/event/interact/SAIC is hiring: https://jobs.saic.com/Bob's LinkedIn: https://www.linkedin.com/in/bob-ritchie-896a654/ What Bob is reading: Drive: The Surprising Truth About What Motivates Us Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

For decades Artificial Intelligence has been a focus of best-selling science fiction authors and an antagonist for blockbuster Hollywood movies. But AI is no longer relegated to the realm of science fiction, it inhabits the world around us. From the biggest enterprise companies to plucky startups, businesses everywhere are building and deploying AI at incredible speed. In fact, open source allows anyone with a laptop to build impressively good AI models in a day.But for all the recent advances in AI, what are its limitations? And if you are a developer or business leader, what use cases can AI solve for your company? In this week’s episode of Dev Interrupted, Emad Elwany, CTO and Co-founder of Lexion, walks us through the practical realities of AI in today’s world and how its constraints apply to your business. He also discusses the biggest breakthroughs in AI, how to build machine learning models that actually solve a business need and why it’s almost impossible to retrofit AI once it’s already built. Whether you are a business leader who is considering implementing AI at their company, a consumer curious about how AI impacts your daily life or a researcher wanting to understand how to better deploy AI outside of the lab - this episode has got something for you!Learn more about our INTERACT conference on April, 7th: https://devinterrupted.com/event/interact/Lexion is hiring: https://www.lexion.ai/careersJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Hate interruptions? Ever feel like you’ve lost your ability to focus on coding? Katie Wilde, VP of Engineering at Ambassador Labs, knows your pain and she’s on a crusade to help devs everywhere reclaim their focus. Spoiler: She's got a message for managers who can’t meet with devs whenever they want: “Don’t like it? Well, suck it up.”The thing about productivity is, you can’t have it both ways. You can either protect your devs’ ability to focus by providing them meaningful time for creativity or you can call them into meetings all day long for constant feedback - but you can’t have both. These concepts don’t have to be at odds with each other, though. On this week’s episode of Dev Interrupted, Katie details exactly what managers can do to foster a harmonious, productive environment between themselves and their devs. She also talks about the importance of “shifting left,” the dangers of doing it too quickly, and why “hiring great people and getting out of their way” may not be a good mantra.Learn more about our INTERACT conference on April, 7th: https://devinterrupted.com/event/interact/Ambassador Labs is hiring: https://www.getambassador.io/ Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It used to be that in order to make your parents proud you had to go into management. Then along came the self-contained IC career path. Today, this dual-track career path remains the unchallenged standard of companies everywhere.Or does it?Peter Bell, the founder and CTO of CTO Connection, wants developers everywhere to know that there are several dev adjacent career paths. From product to dev advocate to sales engineer, Peter has the insights you need if you’ve ever considered switching up your career while utilizing your hard-earned skills as a developer. If you're an engineering leader, then Peter’s advice on the importance of building a community at your company is not to be missed. Through his work with CTO Connection, engineering leaders everywhere have found a community to call home - and a resource to leverage. In fact, CTO Connection bills itself as the “Stack Overflow for managers.” Peter is a gifted speaker and presenter, you won’t want to miss this episode!Learn more about our INTERACT conference on April, 7th: https://devinterrupted.com/event/interact/CTO Connection website: https://www.ctoconnection.com/Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Data junkies rejoice, this is the episode for you. On this week’s episode of Dev Interrupted, Einat Orr, co-founder and CEO of Treeverse, sits down with us to talk about the state of data… where it’s been, where it’s going and why having bad data might be worse than having no data at all.Einat's path to becoming a CEO is different from many of the folks who come on the podcast. After graduating with a PhD in mathematics, she spent much of her career as a CTO due to her extraordinary technical expertise. But things changed when Einat and her cofounder asked themselves a simple question: if code has Git, why doesn’t data have a “Git-equivalent”? Their exploration of this question inspired Treeverse. In a technical deepdive, Einat walks Dev Interrupted’s executive producer Conor Bronsdon through the founding story of Treeverse, why data needs its own version of Git, the specifics of data warehouses & data versioning, and what the future of data storage looks like. Put on your thinking caps and enjoy!Learn more about our INTERACT conference on April, 7th: https://devinterrupted.com/event/interact/Treeverse's website: https://treeverse.io/Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

How does a former-CTO-turned-VC assess companies now that they're the one with the money? What do they look for - and expect to find - in a company’s engineering team?Enter Jason Warner on the Dev Interrupted stage.Jason is the most unique of investors: He made the jump from being a CTO to managing his own $725M fund at Redpoint Ventures. After leading GitHub to one of the best exits in the history of Silicon Valley, Jason is now dedicating his full time to picking the tech, teams and products he thinks will define the next decade and beyond.In this freewheeling conversation, we cover everything from Jason’s start in tech carrying boxes while interning at IBM, his tenure as GitHub’s CTO, the reason full stack engineers may be a dying breed and why Redpoint Ventures avoids “yoloing” investments, even if it’s a lucrative practice. We hope you enjoy the conversation as much as we did.Learn more about our INTERACT conference on April, 7th: https://devinterrupted.com/event/interact/Repoint Ventures' website: https://www.redpoint.com/Jason's Twitter: https://bit.ly/35WhGrVJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Anyone who’s been in a rapidly scaling company with an ever-expanding engineering team knows that communication is never as simple as it seems. That’s why we were so excited when Shankar Ramaswamy decided to sit down with Dev Interrupted's Conor Bronsdon.Shankar is a veteran leader in the engineering space, having helped recruit, build and guide developer teams at companies like Amazon, eBay, Paypal and Google - where before leaving he managed a team of 300+ people. Now the Head of Engineering at Datastax, Shankar took the time to talk to us about some of the practical lessons he’s learned managing teams of several hundred people, and why something he calls the “intent perception gap” is so tricky for managers to get right. We also took the time to talk about Shankar’s views on the future of cloud computing, what healthy conflict looks like at unicorn companies and why you might want to rethink your single-vendor strategy.Show Notes:Datastax's website: https://www.datastax.com/ OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

You’ve heard of the supply chain, but what about the software supply chain? Unlike the standard supply chain that you often hear about in the news, this week’s episode of Dev Interrupted dives into the supply chain responsible for holding together the systems that companies, orgs and governments depend upon. Kim Lewandowski, a software supply chain security expert, co-founded Chainguard in 2021 with a mission to make the software supply chains secure by default.In our conversation, Kim discusses why hackers are way ahead of the game on the software supply chain, what companies can do about it and why excitement around open source may not align with the security threats of the future.She also details why 5 founders may be better than 2, why you might find her Easter eggs in nuclear codes and why Google is an amazing pit-stop in anyone’s career.Chainguard's website: https://chainguard.dev/Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Like most fast-growing companies, LinearB spends WAY too much time trying to hire developers.So when we came across a brilliant article about hiring autistic talent, we knew we had to have its author Matt Nigh on the podcast. Matt is one of the most prominent thought leaders on neurodiversity in the workplace.Matt himself was diagnosed with autism late in life following a very unique job interview at Google. He’s since spent countless hours researching, writing and talking about how companies can not only bring neurodiverse talent into the fold, but why engineering teams thrive when they do.In this episode of Dev Interrupted we talk with Matt about best practices in recruiting, hiring and working with neurodiverse coders, how his interview at Google led to an autism diagnosis, the ways Matt’s data team at the University of Washington is helping combat COVID and what private companies can learn from the ROI metrics of universities and public institutions.Dan and Matt also took some time to geek out about GitLab.We hope this conversation was as enlightening for you as it was for us and we hope it helps you find your next great hire. Matt's LinkedIn: https://www.linkedin.com/in/mattnigh/Matt's article on hiring autistic talent: https://medium.com/leading-literally/now-is-the-time-to-hire-autistic-talent-932d4f291644 Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Building a platform that 100,000 devs use every day is no accident, but it can happen (almost) overnight. Daily.dev is the fastest growing online community for developers to stay updated on the hottest developer news, and their mission is to build the home page that every developer deserves. It pulls together and rewards dev-focused content from 400 sources – letting its users vote on which ones they find the most useful, the most interesting or the most entertaining.Co-founders Nimrod Kramer and Ido Shamun sit down with me to discuss their mission, the trick to building something that grows itself and why they chose to create a platform that actually makes RSS feeds cool!daily.dev's website: https://daily.devJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

We knew we had to kick off the new year with something big - so welcome to Season 2 of Dev Interrupted!This episode probes the murky depths of a time before the pandemic by exploring the story of LinearB's founding in 2018, how co-founders Dan Lines and Ori Keren met at Cloudlock in 2012 - and how they decided to co-found a company while 5,000 miles apart.Listen as Dev Interrupted host and all-around renaissance man, Dan Lines, steps behind the mic to be interviewed not as host of the podcast, but as COO and co-founder of LinearB. Joining Dan is his good friend and fellow co-founder, Ori Keren, LinearB’s CEO.With Producer Conor Bronsdon stepping in to guest host, Dan and Ori detail their transition from developers and VPs at Cloudlock, to deciding to found a company while on separate continents. LinearB's website: https://linearb.io/Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It's finally here, the end of season 1 of the podcast is upon us! To celebrate, Santa is bringing something special - entrepreneurship advice for all the would-be founders of the world, ages 1 to 92.Brian Singer, co-founder & CPO of Nobl9, sits down with Dev Interrupted to help us close out season 1 with a conversation on what it takes to found your own company. Having founded a pair of companies, one of which he sold to Google, Brian has a deep understanding of what it takes to successfully found and scale a startup. More than that, he knows what VCs are looking for. In addition to our conversation on entrepreneurship, we also discuss Service Level Objectives, the ins and outs of Nobl9’s SLO platform, and why SLOs and error budgets will become commonplace approaches in the industry, much in the same way we practice Agile today. From the entire team at Dev Interrupted, we want to give a heartfelt thank you to everyone who has supported us and continued on this journey with us. Producing this podcast every week has been an absolute pleasure and we are so thankful for the outpouring of support we have received this past year. Expect big things - and even bigger stories - in season 2 of the podcast!Have a wonderful New Year, we’ll return on January 8th with a HUGE episode for the official start of season 2. Nobl9's website: https://nobl9.com/Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Companies that do business in the native language of their customer build better customer relationships. Although this may seem fairly obvious, it's easier said than done.After all, when your customer base is spread around the world, how do you scale your customer service?Unbabel has built their business around the idea that customer service can be delivered in any language quickly and efficiently with the right blend of AI and human intelligence, creating a platform they call "Language Operations" or LangOps.Jonathan Sowler, VP of Engineering at Unbabel, joins Dev Interrupted to talk about machine learning, what it takes to build a product that seamlessly integrates AI and human-powered translations, and why the future of language involves emojis. Dan and Jonathan also rundown LinearB metrics and why Jonathan believes implementing LinearB has improved the health of Unbabel's engineering team.**With the holidays fast-approaching, the team here at LinearB will be going on a short break to unwind and spend time with our families. Coinciding with our short break, will be the end of season 1 of the podcast and the beginning of season 2. You’ll hear from us one more time before the year is over - on Wednesday, December 29th. That episode will mark the end of season 1 of the podcast. Then we will return to our normal schedule on January, 8th 2022, with the start of season 2. We have some incredible guests lined up for season 2, so stay tuned! From our family here at LinearB to yours, happy holidays!**Unbabel's hiring: https://unbabel.com/careers/Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Let’s get nerdy with it. On this week’s episode of Dev Interrupted, Dan gets technical with Sergei Egorov, co-founder and CEO of AtomicJar. With the mission to make integrated testing simpler and easier, AtomicJar created the Testcontainers Cloud which allows developers to test their code against real dependencies, not mocks. Today, Testcontainers powers over a million builds per month, helping developers build and release their software with confidence.Dan and Sergei also talk about the difficulty of finding time to code once you become a CEO, the challenges of building a product for developers, and the culture differences between Russian devs and U.S. devs. If you’re a developer or enjoy learning about dev tools, this is the episode for you!AtomicJar's website: https://www.atomicjar.comJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Everything we do is online. We bank online, access healthcare, pay our taxes, build our businesses -  and along the way we put trust in companies to keep us protected. Unfortunately, companies aren’t great at writing secure software. Contrast Security wants to change that. Jeff Williams, Co-founder & CTO of Contrast Security, and Steve Wilson, CPO, join the Dev Interrupted podcast to discuss the future of application security (AppSec), the importance of security automation and why the traditional way of doing security - where you scan app after app a few times a year - is over.Contrast Security is hiring: Check out their open positions.Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

"Where is the future of work" is almost as important a question as, "What is the future of work?"That's why the minds behind Range are on a mission to keep teams connected, focused and productive no matter where they're working. Dan Pupius, CEO and co-founder of Range, joins us this week to discuss the need for better, more collaborative tools as work becomes increasingly team and project based. Dan believes software development was the vanguard to the 21st century work model: when a distinction between 'normal' work and hybrid work will no longer exist because all work will be hybrid work.  Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

How do you build an engineering organization that can drive your company to a billion-dollar valuation and unicorn status? And how do you do it in an emerging and highly-competitive product category like influencer/creator management? Just ask Brent Bartlett, VP of Engineering at GRIN who joins us this week to share his blueprint for success and his path to leadership. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It's time we recognize that the way we build digital products is broken. That's because the products we use today represent the people who build them more than the people who use them. There is a digital divide between the experiences of people with disabilities and people who are able-bodied. Bridging this divide is about more than compliance or checking a box. Fable is helping companies practice accessibility at scale with the goal of operationalizing accessibility in the same way we already do for things like DesignOps and DevOps. Listen as Fable's CEO and Co-founder, Alwar Pillai, and Fable's Engineering Manager, Perry Trinier, talk about the importance of inclusive design, the need for digital accessibility and how to integrate accessibility into the development process. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Has your entire career ever hinged on a single moment? For Darren Dillon, free beer in college set him on the path to a computer science degree and eventually a wildly successful career at Microsoft.  Today, as the CTO of Azure and AI at Microsoft, Darren leads an impressive team of over 130 engineers and is at the forefront of cloud computing and AI technology. Listen to Darren as he discusses his management philosophy, why he believes status reports are overrated, how to best think about building products for your end user and the implications of the GDPR on the future of AI. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Grammarly has a simple but ambitious goal: turn all of its users into great writers. How good is it? We even used it to edit this text - and since Heidi Williams Joined Grammarly a year ago, the company has doubled in size. As Head of Engineering for B2B & Platform, she's at the forefront of crucial new initiatives - all while navigating hypergrowth and keeping users in mind. Heidi joins us to share the lessons she's learned from hypergrowth, her experience as a CTO and Co-Founder, her time as VP of Engineering at Box, and other leadership lessons. She also breaks down what's next for Grammarly and gives us an inside look at the unique culture that powers Grammarly. Plus, don't miss her deep dive with LinearB COO Dan Lines into metrics, team dynamics, and much more. Grammarly is hiring: Check out their open positions.Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

When we asked some of our favorite engineering leaders if they had any mistakes they would be willing to share with our audience the response was always the same: "Yes, but where do I begin? There's so many."The great thing about opening up about past mistakes is that it normalizes failure. All of us will make decisions that we come to regret - the best we can do is learn and grow from them. This is especially true of people in leadership positions who are responsible for managing teams.  In what will be the last podcast episode to feature excerpts from our INTERACT engineering leadership conference, Conor Bronsdon, Dev Interrupted Community Leader, presents a three-part interview he performed for audiences at INTERACT. We applaud Luca Rossi, Head of Engineering at Translated; Shweta Saraf, Senior Director of Engineering at Equinix; and Chris Downard, VP of Engineering at GigSmart, for their candid, open responses about professional moments of failure. Watch all the sessions from INTERACT: https://youtube.com/playlist?list=PL0cH8n2pFJ3ujW7ynadDwPimqNbvn3QfF Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is observability mission critical at this point? The folks at New Relic think so. And they’re not alone, according to their recent whitepaper on observability 90% of respondents believe observability is strategically important to their business. New Relic’s GVP & GM Buddy Brewer and SVP Greg Perotto join the podcast to discuss observability best practices, how to avoid data silos, the value of telemetry across the entire software life cycle and the five key insights of New Relic’s observability report.New Relic's Observability Forecast: https://newrelic.com/resources/white-papers/2021-observability-forecastJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week we have another episode from the 2021 engineering leadership conference INTERACT. In this live conversation, Conor Bronsdon, Community Lead at LinearB and the executive producer of the Dev Interrupted podcast,  interviews Henrik Gütle, GM of Azure for Microsoft Canada. Henrik joins the podcast to break down the results and key takeaways of Microsoft’s research into the impact of remote work on developer velocity - and what engineering leaders can learn from it.The exhaustive study taken over the course of more than a year, both before the pandemic and while it was ongoing, surveyed hundreds of companies regarding a host of topics including: agile practices, cloud adoption, toolsets and talent acquisition. The results of this survey are far-reaching and serve to provide companies with an understanding of transformative business practices. Microsoft's Developer Velocity Report: https://azure.microsoft.com/en-us/resources/developer-velocity-lessons-from-digital-leaders/Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Maria Gutierrez is the VP of Engineering for Strategy and Operations at Twitter. She joins a special livestream of the Dev Interrupted podcast to share her career journey, her strategies for sustainably scaling engineering teams, and the three pillars of engineering processes. Maria has also been working and managing engineering teams remotely for over a decade and offers a great deal of practical advice for team leads everywhere.In a first for the Dev Interrupted podcast, this episode was recorded live during our virtual engineering leadership conference INTERACT. Maria was a fantastic guest, sticking around after her interview with Dan to take questions from the audience. Her lessons on team management, building company culture, hiring, and mentorship are not to be missed. Twitter is hiring: Check out their open positions.Watch the livestream of the INTERACT Conference: devinterrupted.com/interactJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Paulo Rosado, CEO and founder of OutSystems, is on a mission to cancel technical debt for businesses everywhere - and he might have a point. Technical debt is estimated to cost businesses $5 trillion in the next 10 years. Learn about Paulo’s 20 year journey founding OutSystems, his fight against technical debt and much more on this episode of Dev Interrupted. OutSystems Tech Debt Report: https://www.outsystems.com/stop-tech-debt/  Learn more about our  September 30th INTERACT Conference: devinterrupted.com/interactJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

DZone is a thriving online community with more than 10 million visits a month doing incredible research reports into the state of software engineering. They're also a partner for Dev Interrupted's INTERACT conference on September 30th. DZone's Director of Product Kellet Atkinson joins Dan Lines to talk about developer workflow optimization, continuous integration/continuous delivery, low code trends, DZone's community, INTERACT, and much more.  Learn more about our  September 30th INTERACT Conference: devinterrupted.com/interactJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Rukmini Reddy started out doing needlepoint - and today she's VP of Platform Engineering at Slack. At Slack, she lives and breathes metrics. But she knows that without people and the context they bring, metrics alone won't solve engineering leadership challenges. To successfully use metrics to improve your teams and engineering processes - you need a culture of trust, and much more. Rukmini joined LinearB COO Dan Lines to talk about their shared vision for metrics success - and how she's building on Slack's successful engineering culture - plus the story of what brought her to where she is today. You don't want to miss this episode. Learn more about our  September 30th INTERACT Conference: devinterrupted.com/interactJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Brendan Burns co-founded Kubernetes and today leads a 650 person engineering organization at Microsoft today. This week on the Dev Interrupted Podcast he joins Dan Lines to take us through the founding story of Kubernetes and what he learned from that experience about open source projects, community building, leadership, and more. Plus he delves into what Microsoft is doing for devs - and what he and his teams are working on.  Learn more about our  September 30th INTERACT Conference: devinterrupted.com/interactJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsFollow Brendan on Twitter: @BrendanBurnsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Brendan Burns not only co-founded Kubernetes, but he also leads a 650 person engineering organization at Microsoft today. This week on the Dev Interrupted Podcast he joins Dan Lines to tell the story of how he got into engineering and share his strategies and advice for how he leads his engineering teams - next week, he'll be back to take us through the founding story of Kubernetes and what he learned from that experience.  Learn more about our  September 30th INTERACT Conference: devinterrupted.com/interactJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code. Have 60 seconds? Review the show on Apple PodcastsFollow Brendan on Twitter: @BrendanBurnsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Dan is joined on the Dev Interrupted podcast by Manuel Pais and Matthew Skelton the writers of the book Team Toplogies: Organizing Business and Technology Teams for Fast Flow for an in-depth discussion of how software teams are organized and how to optimize and streamline them for best effect. Learn more about our  September 30th INTERACT Conference: devinterrupted.com/interactJoin our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsCheck out the Team Toplogies Academy: http://academy.teamtopologies.com/OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Dan is joined on the Dev Interrupted podcast by Manuel Pais and Matthew Skelton the writers of the book Team Toplogies: Organizing Business and Technology Teams for Fast Flow for an in-depth discussion of how software teams are organized and how to optimize and streamline them for best effect.  Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsCheck out the Team Toplogies Academy: http://academy.teamtopologies.com/OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Facebook is one of the most successful companies in the world, and Jeff Meyerson, the Founder of Software Daily, spend two and a half years talking to Facebook's top engineers to discover how they fit product, culture, and strategy together to succeed. Jeff joined Dev Interrupted to give us the founding story of Software Daily, the secrets to success at Facebook he learned while writing his new book Move Fast: How Facebook Builds Software., the inside scoop on his new company SuperCompute, and his secrets to leveraging his pokers skills in business and in software engineering. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to attend the New Leaders of Remote Work Panel? https://linearb.io/new-leaders-remote-work-panel/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Tech Executive Consultant Aviv Ben-Yosef rejoins Dev Interrupted to finish sharing his advice for technical leaders and how to make use of the "tech executive operating system" and its techniques to improve your leadership and your organization.  Get a sample chapter of Aviv's book here.Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to attend the New Leaders of Remote Work Panel? https://linearb.io/new-leaders-remote-work-panel/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Tech Executive Consultant Aviv Ben-Yosef joins Dev Interrupted to explain his strategies for your first 100 days at an organization and how to make use of the "tech executive operating system" and its techniques to improve your leadership and your organization.  Get a sample chapter of Aviv's book here.Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to attend the New Leaders of Remote Work Panel? https://linearb.io/new-leaders-remote-work-panel/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Helen Beal, Chair of the new Value Stream Consortium joins Dev Interrupted to break down the key takeaways from her new research showing that high-performing teams need Value Stream Management. Read Helen's VSM Research Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Stack Overflow is all about developers - and they've launched a new solution, Collectives to further their mission of serving developers. Come hear from Stack Overflow's Director of Engineering Ben Matthews about Stack Overflow's culture, teams, operations, and their new Collectives product. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Check out ►► Collectives by Stack OverflowWant to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Google is a titan of technology with one of the largest codebases in the world - and there are many lessons to be learned from how Google has scaled and its success. Senior Google Staff Engineers Hyrum Wright and Titus Winters joined Dan on the pod to share their lessons learned from programming at Google and talk about their new book. In fact, the discussion was so good, we split it into our first two-part episode!  Here's part IIJoin the Dev Interrupted Discord Community: https://discord.gg/QMZv8QVfCKVisit the Dev Interrupted Website: https://devinterrupted.com/Hyrum & Titus's Book: https://abseil.io/resources/swe-bookBook a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Google is a titan of technology with one of the largest codebases in the world - and there are many lessons to be learned from how Google has scaled and its success. Senior Google Staff Engineers Hyrum Wright and Titus Winters joined Dan on the pod to share their lessons learned from programming at Google and talk about their new book. In fact, the discussion was so good, we split it into a two-part episode! Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Hyrum & Titus's Book: https://abseil.io/resources/swe-bookBook a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Observability is crucial to understanding and adapting your product and your data - and open source telemetry is increasingly important.  To go behind the data and understand where telemetry is going,  Spiros Xanthos joined Dan on the pod today to talk about how data analysis and tracking are changing, and what is next for Splunk.  Spiros is the Founder of Omnition and the current VP of Product Management, Observability, and IT at Splunk.Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoSplunk's Observability Cloud: https://www.splunk.com/en_us/observability.htmlHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Modern businesses run on code - and ensuring code quality is crucial to success.  To get the inside scoop on Quality Assurance (QA), Dan Lines talks with Erika Chestnut, Head of QA at Calendly at what you need to do to set up QA that works for your business needs, how to socialize the right values for your team, what not to do, and how to adapt these processes when necessary. Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoGet in touch with Erika: https://www.erikachestnut.com/Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

How can you build and scale an effective remote organization? In our digital world, figuring out the answer to this question is crucial, and Chris Brookins the VP of Engineering at Appcues, has some great ideas about how to improve team focus time and maintain company culture in remote-first work environments.  Hear from Chris how he and his team are using LinearB's metrics to inform their decision-making and create a culture of continuous improvement on this new episode of Dev Interrupted.Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What happens if we stay remote? This is the big question engineering leaders are answering in 2021. That’s why I’ve brought in Eric Johnson, the CTO of GitLab, to help us learn how the experts create high performance remote engineering teams. Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsGitLabs Remote Work Playbook: https://about.gitlab.com/company/culture/all-remote/ OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this episode of Dev Interrupted we get into exactly what Chaos Engineering is, how it came to be and how you can implement it at your organization. Join the Dev Interrupted Continuous Improvement watch party on May 20th with leaders from GitHub, Netflix and Honeycomb: https://linearb.io/continuous-improvement-leaders/ Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The open source community is the most pure expression of collaboration and engineering that exists today. That’s why we’ve brought in Doron Gill, the VP of Engineering at Logz.io, to answer our questions about open source security, implementation, and which companies an open source tool stack is perfect for. Join the Dev Interrupted watch party on May 20th: https://linearb.io/continuous-improvement-leaders/ Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What is it like to work at Netflix as a developer? How do they think about culture, their customers and engineering productivity? In this incredible episode of Dev Interrupted, I bring in Kathryn Koehler, the Director of Productivity Engineering at Netflix, to chat about what makes Netflix so unique and why they are standardizing data-driven engineering today.Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Ian Nowland, the SVP of Core Engineering at DataDog. Ian joins us to share his experience coaching engineering managers and how the reality is different from the books. We get into Ian’s seven categories of engineering management, how to take your ego out of your mistakes, and how to measure the impact of your team. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

MURAL has gone through enormous growth in the past two years and Kirby Frugia, VP of Eng, came on to discuss the ins and outs of rapidly scaling engineering organizations. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

We’re tackling one of the most ambiguous and subjective roles in the software engineering career path, the Staff Engineer. Many companies don’t even have this role, and the ones that do have a hard time defining exactly what it means. Will Larson, the CTO of Calm, and author of the new book, Staff Engineer: Leadership Beyond the Management Track, joins us to share his research on what a staff engineer actually is. Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Change is difficult. And it’s even more difficult, if you’re the one trying to make change happen. That’s where Dominica DeGrandis comes in. As the author of Making Work Visible, Dominica has been helping teams make big changes for decades. And now she is joining us to explain the steps we can take to start making a change inside of our organizations, today. Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

As the VP of Engineering at GitHub, Dana Lawson’s team makes decisions that change the development workflows for millions of people at a time. On this episode of Dev Interrupted we chat about the role of technical leadership, how to implement continuous improvement, and how positivity relates to dev team culture.  Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this incredible episode, I bring in Charity Majors, CTO of Honeycomb.io, to explain how to implement continuous delivery, and why you should walk out if your organization doesn’t support the practice.Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In the second and final part of our DevSecOps series with John Willis we take a deep dive into the types of information engineering leaders should be providing their developers, how we can shift security left to save time and resources, and the steps scaling companies can start making today to apply modern DevSecOps methodologies. Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

DevSecOps is one of those buzzwords that can mean a lot of things or nothing at all. But where DevOps helped us gain a more holistic understanding of our delivery pipeline, DevSecOps does the same for our security efforts. Over the next two episodes of Dev Interrupted I explore what DevSecOps actually means to dev teams with John Willis. Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The wars of the future will be fought with software and system architecture, as much as any other weapon. That’s why the US armed forces needed to start applying modern software methodologies at scale. The beginning of this incredible digital transformation began in 2017 when the US Air Force started a project called Kessel Run. Leading the project then, and now Chief of Platform of over 200 Kessel Run developers is my guest, Adam Furtado.  Join the Dev Interrupted Discord Community: discord.gg/devinterruptedVisit the Dev Interrupted Website: devinterrupted.com/Book a ►► LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It’s time for project management not to suck anymore. That's why I've brought in Zach Ozer, the VP of Engineering at Clubhouse.io to talk about how the new partnership between LinearB’s and Clubhouse is helping dev teams eliminate the need for status update meetings, and automate the manual tasks so many project management tools require from developers. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

We have to start giving our developers the ability to find and fix security vulnerabilities before their code is merged. I brought in Liran Tal, a security expert from Snyk.io to talk about how our community can begin evolving traditional security workflows into a more modern way of working. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsWant to continue learning about dev-first security? Be sure to check out the latest episode of Snyk's podcast The Secure Developer  with episode guest Mike Schema: http://bit.ly/devinterrupted_Mike_shema OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What would happen if you eliminated all of the processes that surround your software development teams today? Adam Carmi, CTO of Applitools, joins me to discuss how his methodology works, and why you need to start eliminating processes too. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

It’s safe to say that everyone wants more visibility into their software delivery process. That’s why I’ve brought in Anders Wallgren, the VP of Technology Strategy at Cloudbees, to discuss how we can start connecting the small islands of visibility our current systems give us. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The skills you use as a software engineer, and the skills you need as a technical team leader are not the same. This week I brought in former CTO turned engineering leadership coach Pat Kua to discuss what you need to think about when making the jump to leadership.Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Customer success can make or break any business, especially when you’re scaling. That's why I've brought in Sunil Mavadia to explain how to scale a customer success initiative and what dev teams can do to help.Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Continuous Delivery isn’t about how fast you can deliver, it’s about the outcome your delivery achieves. On our first episode of the new year I talk with Bryan Finster, author of 5-minute DevOps, about outcome-based development and why failing small is better than failing fast. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Automation is key when it comes to scaling your engineering efforts, but can you automate yourself out of a job? On this week’s episode I brought in Judy Johnson to answer my questions about what shouldn’t be automated and how to convince your business to take on the upfront cost of an automation initiative. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want metrics & software delivery intelligence for dev teams?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The most prolific companies of our time are run by former developers. That's why I brought in former developer turned CEO, Stephen Magill, to chat about what it takes to make the jump from developer to business leader.  Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want metrics & software delivery intelligence for dev teams?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Should you be hiring a software developer or a senior software developer...and what's the difference? And how do you know during an interview? To answer these questions and more, I brought in Tomasz Waraksa, a tenured Senior Software Developer with decades of hiring experience to help us figure out exactly what makes a software developer senior, and how to hire one with confidence. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want metrics & software delivery intelligence for dev teams?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

You've probably heard of Site Reliability Engineering, but what does it really mean? Brian Murphy knows. As the SRE Manager at G-Research, Brian has spent his career building and managing successful SRE teams. He joins me on this episode of Dev Interrupted to explain how SRE teams operate, what success looks like, and why uptime isn't the most important metric. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want metrics & software delivery intelligence for dev teams?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Gaming dev metrics is easy.  In this episode I'm joined by software architecture expert and agile enthusiast, Ray Elenteny, to discuss how people game dev metrics and the underlying issues with culture and leadership that lead to it. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want metrics & software delivery intelligence for dev teams?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

After years of experience managing dev teams asynchronously, Cate Huston, Engineering Director at DuckDuckGo, joins me to discuss why communicating asynchronously makes more sense for distributed dev teams. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want metrics & software delivery intelligence for dev teams?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Why do we measure dev team metrics and what should you start measuring first? Luca Rossi, Head of Engineering at Translated, helps me answer these questions and more in this dev team metrics focused episode. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want metrics & software delivery intelligence for dev teams? ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this episode I learn how to create my own Development Methodology from the VP of Engineering at GigSmart. Chris Downard and I discuss how he doesn't let Agile define what's right for his time and how the development process has changed due to the hybrid remote reality. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want metrics & software delivery intelligence for dev teams? ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

LinearB CEO Ori Keren joins me on our first episode of Dev Interrupted to talk about Asynchronous Development, a new software development methodology build for remote teams. Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want metrics & software delivery intelligence for dev teams?  ►► Book a LinearB DemoHave 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.