Dev Interrupted

LinearB
  • 5.0 (2)
  • Technology
  • Every two weeks

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. 13 hr ago

    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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 15 Sept

    Treat your data pipelines like code, because your agents already do | MotherDuck's Jordan Tigani

    Your data warehouse still thinks a human is on the other end of the query. That's a problem MotherDuck CEO and co-founder Jordan Tigani knows from the inside, having spent years as a founding engineer on Google BigQuery. This week on Dev Interrupted, he joins Andrew to make the case that one warehouse per agent beats the distributed systems he used to work on. He lays out Watertown, his riff on Steve Yegge's Gastown that recasts the data engineer as the manager of a fleet of agents, and walks through how MotherDuck's Flights, Dives, and just-launched Guides keep pipelines, visualizations, and business context as code reviewed in GitHub.  Get the guide: Your software factory needs a context layer Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's guest: MotherDuck: The DuckDB-powered data warehouse built for small data and agents at motherduck.comWater-Town: Read Jordan's take on the agent swarm data stack, his riff on Gastown, at motherduck.com/blogFlights: Learn how MotherDuck turns data ingest into scheduled Python scripts your agents can write at motherduck.com/blogDives: See how MotherDuck replaced its BI tool with LLM-written TypeScript visualizations at motherduck.com/blogGuides: Read the docs on MotherDuck's new Markdown context layer for agents at motherduck.com/docsMotherDuck Blog: Keep up with all things MotherDuck at motherduck.com/blogMotherDuck Community: Join the community Slack at community.motherduck.comConnect with Jordan: 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.

  7. 11 Sept

    The factory gets darker, Meta migrates to Slack, and throwing 10,000 PhDs at math problems

    This week on the Friday Deploy, Andrew is joined by Dev Interrupted's producer Adam Noble to size up OpenAI's declaration that the AGI era has arrived, the Navier-Stokes race that has the math world crying foul, and why Meta is ditching its own messaging stack for Slack. They also dissect the bizarre saga of OpenAI's sandboxed agents leaving whispered notes for their future selves, and the "super dark factory." Finally, they celebrate Kiro Pro going free for over a million college students and tease a terminal-first upcoming news segment.  Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026 Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's stories: The Era of AGIA Bad Day For Humans, a Worse Day For HumanityMeta is switching to Slack because it says it's better for AI agentsAgency and AgentsThe Superdark FactorySpec-Driven Development for Agentic Software Engineering: Harnessing Human-Agent TeamworkInside Dev Interrupted’s agentic newsroom and what it reveals about the future of tech mediaKiro Pro for students: kiro.dev/students 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.

  8. 8 Sept

    Your agents are starving! Airbyte’s Michel Tricot on the data ingestion crisis

    If your AI agents are starving for accurate context, or breaking production because they have way too much access, you are officially in the middle of the data ingestion crisis. This week, Airbyte CEO and co-founder Michel Tricot unpacks the massive data access and context sprawl challenges that are crippling AI workflows in production. He and Andrew dive into the critical need for strict data permissions, automated entity resolution, and why the transition to agentic workflows perfectly mirrors the paradigm-shifting migration from bare-metal servers to the cloud. Finally, Michel explains why obsessing over short-term AI ROI is a massive mistake, revealing how Airbyte measures true success with their internal automation project, Hydra. Get the guide: Your software factory needs a context layer Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts: Follow AndrewFollow BenFollow DanFollow today's guest: Airbyte: Explore the open-source data integration platform powering AI context at airbyte.comAgent Blueprint: Read Michel Tricot's newsletter on building agentic data infrastructure on SubstackConnect with Michel: 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.

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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
    334
  • Rating
    Clean
  • Copyright
    © 2026 Dev Interrupted
  • Show Website
    Dev Interrupted

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