• Ep. #51, CI Is the New Bottleneck with Kyle Galbraith
    May 15 2026

    On episode 51 of The Kubelist Podcast, Marc Campbell and Benjie De Groot sit down with Kyle Galbraith. Kyle shares the story behind Depot and explains how the company evolved from accelerating Docker builds into building an entirely new CI platform designed for the AI era. The conversation explores BuildKit internals, remote caching, microVMs, AWS infrastructure, and why modern software development may require rethinking CI from the ground up.

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    1 Std.
  • Ep. #10, The Human Brain in Software Development with Steve Krouse
    May 14 2026

    On episode 10 of High Leverage, Joe Ruscio sits down with Steve Krouse to discuss the rapidly evolving relationship between AI and programming. Steve shares lessons from building Val Town at the center of the AI tooling wave, why he believes better abstractions will define the future of software, and how engineers can avoid becoming passive operators in an increasingly agent-driven world.

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    52 Min.
  • Ep. #37, Is AI Killing Open Source Software? with Stormy Peters
    May 14 2026

    On episode 37 of Open Source Ready, Brian and John speak with Stormy Peters about the evolving relationship between AI and open source software. Together, they unpack the growing challenges maintainers face, why traditional “good first issues” may be disappearing, and how AI tools are changing the way developers contribute to projects. They also discuss open-weight models, inference costs, and why community health still matters more than lines of code.

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    27 Min.
  • Ep. #90, Outcome Engineering in the AI Era with Cory Ondrejka
    May 7 2026

    On episode 90 of o11ycast, Ken Rimple and Jessica “Jess” Kerr speak with Cory Ondrejka. Together, they unpack the rise of agentic AI, the shifting identity of software engineers, and the growing importance of measuring real-world impact. Cory shares his concept of Outcome Engineering and how teams can adapt to a world where building is fast but validation is everything.

    Come find the Honeycomb team at O11yCon on May 21st!
    https://events.honeycomb.io/o11yConSF2026
    Use discount code SFCast2026 for 20% off

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    53 Min.
  • Ep. #4, Signals and Levers with Elisabeth Hendrickson and Joel Tosi
    May 6 2026

    On episode 4 of Third Loop, Elisabeth Hendrickson and Joel Tosi join the hosts to discuss systems thinking, software delivery, and why organizations often solve the wrong problems. They explore their upcoming book Signals and Levers, unpacking the CREATE framework and the illusions of progress, predictability, and control. The conversation also dives into AI, user trust, feedback loops, and what it really means to improve delivery.

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    51 Min.
  • Ep. #9, The AI Coding Paradigm Shift with Simon Willison
    May 5 2026

    On episode 9 of High Leverage, Joe Ruscio sits down with Simon Willison to unpack the rapid evolution of AI coding tools and what they mean for software development. They explore the shift from vibe coding to agentic engineering, how coding agents are reshaping workflows, and why experience still matters. The conversation dives into trust, security, and what breaks when code becomes cheap.

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    53 Min.
  • Ep. #11, Contrarian Bets and AI Skepticism with Michael Stonebraker
    Apr 28 2026

    On episode 11 of Data Renegades, CL Kao sits down with Michael Stonebraker, legendary database pioneer and creator of Ingres and Postgres. They explore the origins of modern relational databases, why specialized systems outperform one-size-fits-all platforms, and what today’s AI hype gets wrong about enterprise data. Stonebraker also shares hard-earned lessons on startups, research, and staying relevant over five decades in tech.

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    52 Min.
  • Ep. #8, The AI Preceptorship Model with Scott Hanselman
    Apr 24 2026

    On episode 8 of High Leverage, Joe Ruscio sits down with Scott Hanselman for a conversation that goes far beyond prompts and productivity gains. They talk about craftsmanship, learning by doing, the long-term talent pipeline for engineering teams, and how AI could either free people to do more meaningful work or simply accelerate existing inefficiencies. From pair programming to Star Trek economics, this episode examines the bigger human questions behind the current AI boom.

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    43 Min.