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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.


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  • 25 episodes
  • a few times a week
  • Avg 38 min
  • English

Episodes 25

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  • S6 · E47
    June 19 · 38 min

    Microsoft’s wandering eyes, data labeling duties for senior devs at Meta, and prod is the new source code

    This week on the Friday Deploy, Ben and Andrew unpack the sudden disappearance of Fable 5 and discuss whether Meta's aggressive pivot to AI data labeling is destroying its legendary engineering culture. The hosts also explore the rise of highly capable open source Chinese models like GLM 5.2 and why tech giants are considering them to slash skyrocketing inference bills. Finally, they dive into new research proving that as AI execution takes over, human domain expertise and strict production observability are more critical than ever. Register here: for the June 25th workshop, Life Beyond Tokenmaxxing, to learn how to measure real AI impact and ROI across the SDLC. Follow the show: Subscribe to our Substack Follow us on LinkedIn Subscribe to our YouTube Channel Leave us a Review Follow the hosts: Follow Andrew Follow Ben Follow Dan Follow today's stories: Kayfable Why is Meta destroying its engineering organization? AI demands more engineering discipline. Not less Z.ai’s open-weights GLM-5.2 beats GPT-5.5 on multiple long-horizon coding benchmarks for 1/6th the cost Microsoft Mulls China’s DeepSeek for Copilot, Probably to Trump’s Chagrin Agentic coding and persistent returns to expertise 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.

  • S6 · E46
    June 16 · 39 min

    Your SDLC needs a productivity context engine

    What if the secret to fixing your overwhelmed SDLC is not a better AI coding model, but a smarter productivity context engine? This week on Dev Interrupted, LinearB founders Ori Keren and Dan Lines join the show to discuss the messy middle of AI adoption and the painful transition from the traditional SDLC to the Agentic Development Life Cycle. They unpack why the era of cheap AI experimentation is over, how rising token costs are forcing engineering leaders to prioritize strict business ROI, and how autonomous tools are fundamentally changing the daily workflow of developers. Register here: for the June 25th workshop, Life Beyond Tokenmaxxing, to learn how to measure real AI impact and ROI across the SDLC. Follow the show: Subscribe to our Substack Follow us on LinkedIn Subscribe to our YouTube Channel Leave us a Review Follow the hosts: Follow Andrew Follow Ben Follow Dan Follow today's guest: LinearB: Learn how to transform your SDLC and build an engineering context engine at linearb.io gitStream: Explore LinearB's workflow automation tool for routing pull requests at linearb.io/platform/gitstream Follow Ori and Dan on LinkedIn: Ori Keren | Dan Lines 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.

  • S6 · E45
    June 12 · 35 min

    How to harness your dragon with Fable, tech leaders turn to model routing, and coping with AI rockstars

    Anthropic just dropped a dragon-class model on our laps, but can you steer it without torching your codebase in the process? This week on the Friday Deploy, Ben and Andrew unpack the sudden arrival of Fable 5 and how to leverage it to scrutinize your systems before the massive API paywall hits. They also take aim at the unsustainable trend of tokenmaxxing and explore how intelligent model routing can drastically cut your AI spend. Finally, they tackle the unmaintainable mess left behind by AI rockstar developers and share how they are orchestrating their own agent-to-agent collaboration. Register here: for the June 25th workshop, Life Beyond Tokenmaxxing, to learn how to measure real AI impact and ROI across the SDLC. Follow the show: Subscribe to our Substack Follow us on LinkedIn Subscribe to our YouTube Channel Leave us a Review Follow the hosts: Follow Andrew Follow Ben Follow Dan Follow today's stories: Bots Have Officially Taken Over the Internet, Humans Are The Minority Claude Fable 5 and Claude Mythos 5 What it feels like to work with Mythos Sam Altman says OpenAI's top token spender uses 100 billion tokens a month — and they're not even the world leader How I Cut Our AI Spend in Half | "Tokenmaxxing" is Dead Cleaning up after AI rockstar developers 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.

  • S6 · E44
    June 9 · 52 min

    All software is an optimization of tokens and time (and speed is still the moat) | AMD’s Anush Elangovan

    What happens when you strip away decades of engineering abstractions and let AI navigate the wild west between your initial intent and the final outcome? This week on Dev Interrupted, Anush Elangovan, VP of AI Software at AMD, returns to unpack the rapid shift toward an agentic software development lifecycle. Anush introduces the concept of "Agentic IO," a workflow where engineers focus strictly on high-level goals while AI handles the complex implementation. The conversation also highlights the expanding productivity wingspan of modern developers, the power of local open source models, and why speed remains the ultimate competitive moat. Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms Follow the show: Subscribe to our Substack Follow us on LinkedIn Subscribe to our YouTube Channel Leave us a Review Follow the hosts: Follow Andrew Follow Ben Follow Dan Follow today's guest: AMD ROCm: Learn more about AMD's open-source software stack for AI at rocm.docs.amd.com and on GitHub. AMD Advancing AI 2026: Register for AMD's flagship global AI event taking place July 22-23 in San Francisco at amd.com/advancing-ai. Follow Anush on LinkedIn: Anush Elangovan | AMD blog 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.

  • S6 · E43
    June 5 · 27 min

    Microsoft breaks free from OpenAI, using your harness to add drag instead of velocity, and the Linux built-ins you're sleeping on

    This week on the Friday Deploy, Ben and Andrew unpack the AI build-versus-buy debate, Microsoft's new independent foundation models, and the growing revolt of mathematicians against unsubstantiated AI-generated proofs. The hosts also explore Stanford’s Socratic rulebook for AI coding assistants and discuss Kent Beck's warning that engineering teams need to build "trust factories" to counter the rapid chaos of AI-assisted development. Finally, they close with a defense of Linux primitives and why you should probably be using a systemd timer instead of the latest shiny AI tool. Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms Follow the show: Subscribe to our Substack Follow us on LinkedIn Subscribe to our YouTube Channel Leave us a Review Follow the hosts: Follow Andrew Follow Ben Follow Dan Follow today's stories: The AI SaaSpocalypse is a mirage Mathematicians warn of AI threats to profession as industry encroaches Introducing MAI-Code-1-Flash AI Agent Guidelines for CS336 at Stanford Trust Factory You Don't Love systemd Timers Enough 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.

Showing 21–25 of 25 episodes