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  • Ep. #12, The Limits of Lights-Out Coding with Dexter Horthy
    2026/08/05

    On episode 12 of High Leverage, Joe Ruscio sits down with Dexter Horthy of HumanLayer. They explore the promise and limitations of autonomous coding, including why today’s models excel at bounded programming tasks but struggle to account for the long-term consequences of architectural decisions. The conversation covers dark software factories, code review bottlenecks, program design, technical debt, and the continuing importance of experienced engineers.

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    1 時間 5 分
  • Ep. #11, Why Agents Need Computers with David Crawshaw
    2026/06/03

    On episode 11 of High Leverage, Joe Ruscio speaks with David Crawshaw about the shift from traditional developer infrastructure to agent-native computing. David traces lessons from founding Tailscale to now building exe.dev around the idea that “agents need a computer.” The conversation explores why VMs may be the right primitive for AI coding agents, why deployment friction becomes unacceptable when software can be generated in minutes, and how agent-driven development changes code review, production workflows, security, and the economics of personal software.

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    1 時間 9 分
  • Ep. #10, The Human Brain in Software Development with Steve Krouse
    2026/05/14

    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 分
  • Ep. #9, The AI Coding Paradigm Shift with Simon Willison
    2026/05/05

    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 分
  • Ep. #8, The AI Preceptorship Model with Scott Hanselman
    2026/04/24

    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 分
  • Ep. #7, The CTO’s AI Playbook with Peter Bell
    2026/03/04

    On episode 7 of High Leverage, Joe Ruscio sits down with Peter Bell to explore how the CTO role evolves from early-stage founder to enterprise leader. They unpack what it really takes to scale AI adoption across an engineering organization, and why simply buying tools isn’t enough. The conversation dives into agentic software development, observability, context engineering, and what happens when production code is generated without direct human review.

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    41 分
  • Ep. #6, Async Runtime For Rust with Carl Lerche of Tokio
    2026/01/29

    On episode 6 of High Leverage, Joe Ruscio sits down with Carl Lerche, Principal Engineer at AWS and creator of Tokio. Carl shares his journey from Ruby and Rails into Rust, and explains why memory safety, fearless concurrency, and async runtimes matter for modern infrastructure. The conversation dives deep into the origins of Tokio, lessons from building foundational open source software, and how Rust’s guarantees are shaping the future of systems engineering.

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    43 分
  • Ep. #5, Mergers and Acquisitions with Eliran Mesika of GitLab
    2019/07/08

    In episode 5 of High Leverage, host Joe Ruscio and special guest Eliran Mesika of GitLab pull back the curtain on company acquisitions, build vs. buy considerations, and the complex inner workings of merger agreements.

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    38 分