Why rent a cloud when you can build one?

Ryan welcomes Tom Moor, head of engineering at Linear, to discuss AI agents’ mixed results for productivity in the development lifecycle, the importance of context for maximizing agents’ effectiveness, and the role that junior developers need to take in a world increasingly driven by AI.Episode notes:Linear is a tool for planning and building products that streamline issues, projects, and product roadmaps.Connect with Tom on Twitter. This episode’s shoutout goes to user ozz, who won a Populist badge for their answer to Column width not working in DataTables bootstrap.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan is joined by Spiros Xanthos, CEO and founder of Resolve AI, to talk about the future of AI agents in incident management and troubleshooting, the challenges of maintaining complex software systems with traditional runbooks, and the changing role of developers in an AI-driven world.Episode notes:Resolve AI is building agents to help you troubleshoot alerts, manage incidents, and run your production systems. Connect with Spiros on Linkedin or email him at [email protected]. Congrats to user larsks for winning a Stellar Answer badge for their answer to How do I get into a Docker container's shell?.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of Leaders of Code, Eira May, B2B Editor at Stack Overflow, and Natalie Rotnov, Senior Product Marketing Manager for the Enterprise Product Suite at Stack Overflow, unpack the key takeaways from the 2025 Developer Survey for tech and business leaders. The discussion focuses on the evolving developer relationship with AI, the continued struggle with tool sprawl, and actionable recommendations for leaders looking to deliver value and improve developer experience.The discussion covers critical findings for tech leaders:The decline in developer trust in AI is linked to two main frustrations: solutions that are "almost right, but not quite" and the time wasted debugging AI-generated code.Human connection and community validation remain vital: 80% of developers still visit Stack Overflow regularly, and the number of "advanced questions" on the public platform has doubled since 2023, underscoring AI’s limitations when it comes to complex, context-dependent questions.Tool sprawl continues, as most developers use 6–10 tools, suggesting that AI tends to complicate rather than simplify workflows.Notes:Explore key insights from the 2025 Stack Overflow Developer Survey, consolidated into an executive-ready summary. Connect with Natalie Rotnov on LinkedIn.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes John Dickerson, CEO of Mozilla.ai, to talk about the evolving landscape of AI agents, the role of open source in keeping the tech ecosystem healthy, the challenges OS communities have faced with the rise of AI, and the implications of data privacy and user choice in the age of multi-agent AI systems. Episode notes:Mozilla.ai is building the agent platform that helps organizations safely automate real work with AI agents. Connect with John on Linkedin or email him at [email protected]. Congrats to Populist badge winner Philipp Merkle, who won it for their answer to How to set the -Xmx when start running a jar file?.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Andrei Kvapil, founder of Ænix and core developer of Cozystack, joins Ryan to dive into what it takes to build a cloud from scratch, the intricacies of Kubernetes and virtualization, and how open-source has made digital sovereignty possible. Episode notes:Cozystack is a Kubernetes-based framework for building a private cloud environment.Connect with Andrei on Linkedin. Today’s shoutout goes to user Adam for winning a Populist badge for their answer to Regex replace text but exclude when text is between specific tag. TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes Dhruv Batra, co-founder and chief scientist at Yutori, to explore the future of AI agents, how AI usage is changing the way people interact with advertisements and the web as a whole, and the challenges that proactive AI agents may face when being integrated into workflows and personal internet use. Episode notes:Yutori is building AI agents that can reliably handle everyday digital tasks on your behalf on the web.Connect with Dhruv via his website. Congrats to the winner of today’s Populist badge, user Don Kirkby, who earned it with their answer to Find all references to an object in python.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes back Evan You, the creator of Vite and Vue.js, to discuss the evolution of build tools in web development, the unique features of Vite from its plugins to its hot module capabilities, and the future of Vite, including its integration with Rust. Plus, they touch on Vite’s new documentary and the power of open-source communities.Episode notes:Vite is a frontend build tool powering the next generation of web applications. Check out all of the work Evan is doing at his company VoidZero. For more on the origins of Vite, watch the newly-released Cult.repo’s documentary. If you’d rather hear Evan talk about Vue.js, listen to the podcast we published with him earlier this summer. Today’s shoutout goes to user dbush for winning a Populist badge on their answer to How does printing a union itself and not its member work in C?.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan sits down with Dimitri Stiliadis, CTO and co-founder of Endor Labs, to talk about how AppSec is evolving to address AI’s use cases. They discuss the implications of AI-generated code on security practices, the importance of human oversight in managing vulnerabilities, and how organizations should be balancing security and efficiency with AI. Episode notes:Endor Labs is AppSec for the software development revolution, helping you pinpoint critical risks whether your code is written by a human or AI. Connect with Dimitri on LinkedIn.Today’s shoutout is for user skovorodkin, whose answer for Elegant Python code for Integer Partitioning  was so good, it outscored the accepted answer. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Gil Feig, co-founder and CTO of Merge, joins the show to explore Merge’s approach for reducing third-party APIs to a single call, the complexities of and need for data normalization, and the role that AI and MCP plays in the future of API functionality. Episode notes: Merge connects you to any third-party system for fast, secure integrations for your products and agents.Connect with Gil on LinkedIn and X. Shoutout to user Abhijit for winning a Lifeboat badge on their answer for Complex numbers in python.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In the second part of this two-part Leaders of Code episode, Peter O'Connor, Director of Platform Engineering, and Ryan J. Salva, Senior Director of Product at Google Developer Experiences, dive beyond AI hype to explore the shifts reshaping how engineering teams operate and scale. From the critical role of documentation quality in AI workflows to the cultural transformations needed for successful adoption, Peter and Ryan discuss the deeper implications of integrating AI into modern software development practices.The discussion also:Explores how poor documentation creates problems as AI systems learn and repeat mistakes, making high-quality documentation essential for successful AI integrations.Covers how consistent tools and processes become more important when using AI, and why leaders should prioritize helping teams learn and experiment with AI tools instead of just measuring productivity.Offers practical advice for leaders on how to create environments where developers can learn and build confidence with AI tools.Notes:Listen to Part 1 of the conversation here.Connect with Peter O’Connor and Ryan J Salva.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.