Episodes

  • Node.js: Moving Too Fast for Corporations, but Too Slow for Developers

    Node.js: Moving Too Fast for Corporations, but Too Slow for Developers
    May 13 2026
    The episode focuses on the operational and security landscape of Node.js. Marco and Rafael explain that Node.js development is driven by volunteers rather than a formal product roadmap, with significant time dedicated to security releases and triaging reports from platforms like HackerOne. A major theme is the rise of "AI slop"—low-quality, AI-generated bug reports that consume valuable maintainer time. To combat this, the team has implemented stricter reporter reputation requirements. The episode also discusses the project's evolution toward including more built-in modules to improve user experience, the recent stabilization of native TypeScript support, and ongoing debates regarding the frequency of major release cycles.
    Show More Show Less
    1 hr and 1 min
  • How AI is Redrawing the Battle Lines of Cybersecurity

    How AI is Redrawing the Battle Lines of Cybersecurity
    Apr 30 2026
    In this episode, Michael Dowden sits down with Andrew Roden to explore the dual nature of artificial intelligence in the security industry, highlighting its power to both automate defense and supercharge sophisticated attacks. While AI agents are now capable of discovering and exploiting software vulnerabilities autonomously, the human element, through social engineering and the patient manipulation of open-source trust, remains the most critical vulnerability in the modern supply chain. Ultimately, Andrew emphasizes that human instinct remains the best defense in an AI-driven world, as engineering mastery is required to filter out low-quality "AI slop" and secure critical infrastructure.
    Show More Show Less
    58 mins
  • Trust is the New Currency in AI Design

    Trust is the New Currency in AI Design
    Apr 22 2026
    In this episode, Michael Dowden sits down with UX designer Konrad Piercey to discuss how AI is reshaping user experience (UX) and product design. Piercey emphasizes that successful AI integration is not merely a technical challenge but a human one rooted in trust and transparency. He also explores key challenges brought by AI, including team alignment and the inevitability of bias in intelligent systems.
    Show More Show Less
    52 mins
  • The Governance Revolution: Scaling Trust Through Platform Engineering

    The Governance Revolution: Scaling Trust Through Platform Engineering
    Apr 8 2026
    This episode explores the evolving definition of platform engineering, framing it as the essential "governance fabric" required for modern digital businesses. Mark Boyd, Director at Platformable, discusses the shift from traditional DevOps toward a product-centric approach that prioritizes consistency, security, and the removal of development friction.
    Show More Show Less
    1 hr
  • The End of Coding as We Know It

    The End of Coding as We Know It
    Mar 25 2026
    In this episode, host Michael Dowden sits down with Nir Kaufman to discuss the future of software development and how AI is reshaping the role of developers. They explore why communication, context management, and prompt engineering are becoming essential skills in this new era. Kaufman shares his perspective on a potential "big bang" moment for AI, where the current AI hype bubble will eventually burst and force the industry to refocus on delivering real value. The conversation also touches on where AI is making a meaningful impact, and where challenges like security and overinvestment continue to loom.
    Show More Show Less
    56 mins
  • Vibe Coding Beyond the Hype

    Vibe Coding Beyond the Hype
    Feb 27 2026
    In this episode, host Michael Dowden sits down with John Davies, CTO of Incept 5, to unpack what he calls the “utterly crazy” pace of AI innovation. They explore the rise of vibe coding, where developers shift from writing code to orchestrating AI bots, and where fully functional apps can be built in days instead of months. But with this acceleration comes new responsibility: privacy risks, private vs. public LLMs, and the critical role of human-led QA in high-stakes industries like finance and healthcare. The conversation also examines how AI is reshaping job roles, democratizing development, and moving the real bottleneck from coding to creativity. Davies argues that AI won’t replace developers, but developers who use AI will replace those who don’t.
    Show More Show Less
    44 mins