Dev Interrupted

LinearB

Software itself is fundamentally changing. We explore the transition to agentic orchestration, vibe coding, and AI-native development, grounding the conversation in the principles that have always defined great engineering.On Tuesdays, we interview the founders, architects, and builders of the world’s most impactful tech to uncover the timeless engineering principles and strategies shaping the next era of development.And on Fridays, we drop an end-of-week roundup of the biggest news in AI and software, and what it actually means for your career, your craft, and your life as a developer.Subscribe to stay ahead of the next era of code.

  1. 1 day ago

    Balancing AI innovation with compliance and governance | Capital One’s Abhijit Bose

    Capital One SVP Abhijit Bose, who leads the company’s enterprise AI and ML platforms, has spent more than 20 years in AI and ML, and his answer is to make governance the platform’s job instead of the developer’s. This week on Dev Interrupted, he joins Dan Lines for LinearB’s AI Enablement Series to walk through how every harness change at Capital One now runs through evals that measure token cost, latency and quality before it reaches users. Abhijit also breaks down MACAW, the bank’s multi-agent framework behind Chat Concierge. Save your seat: Deliver outcomes when human attention can't keep up Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's guest: Chat Concierge: Driving the future of car buying with agentic AI. The multiagent car-buying assistant that runs on Capital One’s GenAI platform.MACAW: Capital One at EMNLP 2025. Capital One’s introduction to MACAW, the multi-agent framework behind Chat Concierge.VulnHunter: Announcing VulnHunter. The open-source agentic code security tool Abhijit points to when talking about AI and cybersecurity.Connect with Abhijit: 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.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.

  2. 3 Nov

    Bet on research, not on vibes | Together AI’s Dan Fu

    This week, Dev Interrupted takes a field trip all the way down to the GPU. Leading the way is Together AI’s VP of Kernels Dan Fu, a co-author of FlashAttention who also runs a research lab as an assistant professor at UC San Diego. He joins Andrew to talk about how ideas now move from the lab into production models within months, and what it means to build a cloud for AI. Dan argues that AI is an accelerant for individual engineers, and that the more domain expertise they bring, the faster it lets them go. They close the conversation on how DRIs and managers keep track of ownership and AI spend when your star players get even faster  Save your seat: Deliver outcomes when human attention can't keep up Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's guest: OpenWALDO: The open source AI project Greg launched, built on open weights, artifacts, licenses, data and originsOpenWALDO Slack: Join the community Greg invites listeners intoOpenWALDO on GitHub: The project’s code and toolingCIQ: Greg’s company, where he is founder and CEORocky Linux: The enterprise Linux distribution whose community Greg set upWhy Open Source Matters for AI: Tim O’Reilly’s piece on open weights, protocols and the architecture of participationConnect with Greg: 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.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.

  3. 27 Oct

    Do the models you use have an AI bill of materials? | CIQ’s Gregory Kurtzer

    Most companies control the prompts they send to a model, but not what went into it. That’s the gap CIQ founder and CEO Gregory Kurtzer, who set up the community that built Rocky Linux, wants an AI bill of materials to close. This week on Dev Interrupted, he joins Andrew to make the case for OpenWALDO, a community-backed corpus of AI training data built on open weights, artifacts, licenses, data and origins. Greg explains why open weights alone don’t make a model open source, and why a model trained on copyleft code raises a licensing question nobody has litigated. They close the conversation on why the community side of open source matters more than ever now that AI lets more people contribute. Save your seat: What your software factory is doing to your engineers Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's guest: OpenWALDO: The open source AI project Greg launched, built on open weights, artifacts, licenses, data and originsOpenWALDO Slack: Join the community Greg invites listeners intoOpenWALDO on GitHub: The project’s code and toolingCIQ: Greg’s company, where he is founder and CEORocky Linux: The enterprise Linux distribution whose community Greg set upWhy Open Source Matters for AI: Tim O’Reilly’s piece on open weights, protocols and the architecture of participationConnect with Greg: 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.

  4. 20 Oct

    Multiplayer AI will revolutionize the way we work | OpenClaw Foundation’s Vincent Koc

    Agents made each engineer faster, but the handoffs between them still run through copy and paste. OpenClaw Foundation chief architect Vincent Koc ran into that friction on his own team, and their answer was to move the engineering work of building OpenClaw inside OpenClaw itself. This week on Dev Interrupted, he joins Andrew to walk through the multiplayer setup behind OpenClaw 2.0, where teammates and their agents can jump into each other’s sessions on shared servers and pick up work when someone goes to sleep. Vincent explains how tools like Git Crawl keep their agents aware of everything happening across the repo, and why the piece that’s still missing is the why behind a decision.  Save your seat: What your software factory is doing to your engineers Join us at AGNTCon + MCPCon on Oct 22 & 23 in San Jose. Use code MEDIA25 for 25% off your ticket. Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's guest: OpenClaw Foundation: openclaw.org The foundation behind OpenClaw, which Vincent serves as chief architect.OpenClaw: openclaw.ai The open source personal AI assistant at the center of the conversation.OpenClaw 2.0, Accidentally: openclaw.ai/blog/openclaw-2-accidentally The release post for OpenClaw 2.0 and its multiplayer features.OpenClaw on GitHub: github.com/openclaw The org’s open source repos, all under MIT.OpenClaw security: openclaw.ai/security The project’s security page, which Vincent points to for the full record of reported vulnerabilities.Git Crawl: github.com/openclaw/gitcrawl The team’s GitHub issue and pull request crawler that keeps their agents aware of work across the repo.Crabbox: github.com/openclaw/crabbox The testing infrastructure the team built when nothing out there fit.Tideglass: github.com/vincentkoc/tideglass Vincent’s side project for inferring intent and preference profiles for agents.Beads: github.com/steveyegge/beads Steve Yegge’s git-backed issue tracker for coding agents.Wikinomics: dontapscott.com/books/wikinomics The book on mass collaboration that Vincent keeps coming back to.Connect with Vincent: LinkedIn | X 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.

  5. 13 Oct

    Building the software factory from the spec up | LinearB's Ariel Illouz & Ofer Affias

    LinearB's software factory spends more time on the spec than on the code. VP of Engineering Ariel Illouz spent the last year moving his team of about 30 engineers from vibe coding to spec-driven development, starting with a single spec-writing skill and a rule that every story above three story points gets a spec. This week on Dev Interrupted, he and returning guest Ofer Affias, LinearB's senior director of product, join Andrew to walk through a project Ariel puts at six months without AI that shipped in roughly four weeks, at least two of them spent on specs. Ofer explains why proving the impact meant measuring AI adopters as separate cohorts. They close the conversation on where the software factory goes next, as agents take over more of the loops humans run today.  Save your seat: What your software factory is doing to your engineers Join us at AGNTCon + MCPCon on Oct 22 & 23 in San Jose. Use code MEDIA25 for 25% off your ticket. Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's guest: LinearB Metrics Builder: The custom metrics builder Ariel's team built spec-first, a project he puts at six months without AI. LinearB AI benchmarks: The AI engineering productivity gap: how elite teams pull ahead in 2026. Connect with Ariel: LinkedIn  Connect with Ofer: 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.

  6. 6 Oct

    A neutral home for MCP, A2A, goose, and more | AAIF co-founder Manik Surtani

    MCP was already a hit before it had a neutral home. Then Manik Surtani helped launch the Agentic AI Foundation, and MCP's SDK downloads grew fivefold to over a billion. This week on Dev Interrupted, he joins Andrew to share why he expects the same kind of growth for A2A and the foundation's other newest projects, and why these protocols belong together in a neutral place. Manik also shares the unique reasons behind A2A’s rapid adoption in China’s mobile app ecosystem. They close the conversation on why open source projects like Goose now want your ideas instead of your pull requests, and the neverending roadshow making it all possible out in the community right now. Save your seat: What your software factory is doing to your engineers Join us at AGNTCon + MCPCon on Oct 22 & 23 in San Jose. Use code MEDIA25 for 25% off your ticket. Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's guest: Agentic AI Foundation (AAIF): The foundation's home for working groups, blogs, events and news https://aaif.ioThe Daily Agentic AI Newsletter: The AAIF's news and views, published on LinkedIn.A2A: The agent-to-agent protocol that grew out of Google and recently joined the AAIF https://a2a-protocol.orgA2A joins AAIF: The foundation's announcementModel Context Protocol (MCP): One of the AAIF's founding projects https://modelcontextprotocol.iogoose: The open source agent Manik oversaw at Block, now an AAIF project https://block.github.io/gooseAGENTS.md: The AAIF's third founding project https://agents.mdagentgateway: An open gateway for agentic AI traffic, including token spend tracking https://agentgateway.devAgent Router: The related AAIF project Manik mentions alongside agentgateway https://theagentrouter.aiAGNTCY: The Cisco-backed agent stack whose ACP spec gave way to A2A https://agntcy.orgConnect with Manik: LinkedIn | XManik's Substack: Manik's writing on open source and AI. https://maniksurtani.substack.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.

  7. 29 Sept

    Why AI made code review the new bottleneck, and the metric that spotted it | Newsela's Dee Wilcox

    You can't automate a planning process that only some of your teams follow. This week on Dev Interrupted, Newsela CTO Dee Wilcox joins Dan Lines, LinearB's COO and co-founder in our AI Enablement interview series. She shows how Newsela brought dev cycle time down from four days to closer to two, and why she treats code review time as a measure of how long engineers wait for feedback. They close the conversation on proving AI ROI to the board, where Dan makes the case for cost per effective PR, a metric that only counts the PRs that ship without causing incidents or needing rework.  Save your seat: What your software factory is doing to your engineers Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's guest: Learn more about Newsela: https://newsela.comAccelerate Everyone: Dee's Substack on engineering leadership https://accelerateeveryone.substack.comConnect with Dee: 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.

  8. 22 Sept

    Securing tomorrow’s git forge, so we can reimagine everything else | Entire's Thomas Dohmke & Apiiro's Idan Plotnik

    Before anyone reimagines the software lifecycle for agents, someone has to secure the place all that code lands. Entire CEO Thomas Dohmke, formerly CEO of GitHub, and Apiiro co-founder and CEO Idan Plotnik see the same problem from opposite ends of the pipeline: agents now write, review, test and deploy the code, and nobody reads it. This week on Dev Interrupted, they join Andrew to argue that the fix is context, injected before the prompt through hooks and captured afterward as session logs committed next to the code. Idan puts numbers on the perfect storm of agents shipping more code as Mythos scans surface 10x the vulnerabilities, while Thomas makes the case that code is the what and the session log is the why. They close the conversation on why every pull request needs a business owner, not just a code owner.  Save your seat: Sustaining engineering health through your AI transformation Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's guest: Entire: https://entire.io/Entire CLI (open source): https://github.com/entireio/cliApiiro: https://apiiro.com/Apiiro Guardian Agent: https://apiiro.com/blog/introducing-apiiro-guardian-agent/JPMorgan's Patchmageddon report: https://privatebank.jpmorgan.com/nam/en/insights/latest-and-featured/eotm/patchmageddonConnect with Thomas: LinkedIn | Twitter/XConnect with Idan: 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.

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Ratings & Reviews

5
out of 5
2 Ratings

About

Software itself is fundamentally changing. We explore the transition to agentic orchestration, vibe coding, and AI-native development, grounding the conversation in the principles that have always defined great engineering.On Tuesdays, we interview the founders, architects, and builders of the world’s most impactful tech to uncover the timeless engineering principles and strategies shaping the next era of development.And on Fridays, we drop an end-of-week roundup of the biggest news in AI and software, and what it actually means for your career, your craft, and your life as a developer.Subscribe to stay ahead of the next era of code.

Information

  • Creator
    LinearB
  • Years Active
    2020 - 2026
  • Episodes
    337
  • Rating
    Clean
  • Copyright
    © 2026 Dev Interrupted
  • Show Website
    Dev Interrupted

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