Hi, Spring fans! In this episode, we catch up with one of the most influential engineers in modern Java history - Kohsuke Kawaguchi - for a wide-ranging conversation that’s equal parts tech retrospective, career reflection, and future-gazing. It all starts with a chance reunion at a Java documentary screening in the Bay Area, where familiar faces from Sun and Oracle, old friends, and long-time admirers gathered to celebrate the ecosystem that shaped a generation. From there, the conversation opens up into a fascinating tour through the history of Java, XML, and the tools that quietly powered the industry. Our guest looks back on his work at Sun, where he helped build XML and web services infrastructure in the JDK, and on the hobby projects that became beloved utilities for developers everywhere. We hear the origin stories behind Com4J, his XML schema validator, and his daemonization tool, along with the ideas that made them so useful in the first place: making Java more practical on the desktop, in Windows environments, and in the messy real world of software integration. Of course, no conversation with him would be complete without talking about Jenkins. He shares the story of how a personal frustration with broken builds led to Hudson, then Jenkins, and eventually to one of the most important CI platforms ever created. We dig into why it took off, what problem it solved, and how its plugin-based architecture reflected a broader philosophy of openness and modularity. Then the conversation turns to the present and future. He explains Launchable, the company he started to make test execution and CI workflows dramatically more efficient, and how that work eventually found its way back into CloudBees. From there, we shift gears entirely into his current chapter: time away from full-time leadership, long-distance cycling adventures across France and Italy, cooking, travel, and the kind of creative freedom that comes from stepping back. And yes, we go deep on AI. What does someone who has spent decades building developer infrastructure think about coding agents, open models, and the future of software? His take is thoughtful, practical, and unmistakably informed by years of shipping real tools: AI is changing software development fast, but the winning systems may be the ones that integrate intelligence into existing workflows rather than forcing everyone into one giant chat interface. If you care about Java history, CI/CD, open source culture, developer tools, or just hearing a brilliant engineer think out loud about where technology is headed next, this is an episode you won’t want to miss.
