Joe Grandja on Spring Authorization Server, OAuth, and so much more

Hi, Spring fans! In this episode, Josh sits down with longtime friend and JetBrains developer Anton Arkhipov for a fascinating look at how AI is reshaping the way software gets built. From the halls of Devoxx to the future of IntelliJ IDEA, the conversation explores how AI has moved from being a novelty to becoming a core part of modern development workflows.

Hi, Spring fans! What happens when a longtime Kotlin and JVM fan - my friend Andrew Lombardi - decides to take on the latest “rewrite everything in Rust” hype with AI in the driver’s seat? In this episode, Josh sits down with community legend Andrew Lombardi for a fast, funny, and deeply technical conversation about his wild experiment: porting a real application to Kotlin to see how it stacks up against the much-hyped Rust rewrite.

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.

Hi, Spring fans! What if the JVM could feel as frictionless as the modern dev tools people rave about on other platforms? In this wide-ranging, high-energy conversation, you’ll hear two longtime friends (Andres Almiray is a fellow Java champion and a legend) geek out over the future of desktop Java, the pain of Electron, the elegance of JavaFX, and the tools making it all easier to ship. The discussion dives into a brand-new favorite workflow for managing environments and dependencies, then pivots into the powerhouse that is JReleaser — the tool that helps Java projects publish releases, package native installers, generate distribution bundles, compute signatures and checksums, post announcements to social platforms, and even automate releases across GitHub, GitLab, Maven Central, and more.

Hi, Spring fans! In this episode, I sit down with Michael Carducci - software architect, magician, and knowledge graph expert—for a high-energy conversation about the future of AI. Michael breaks down why semantic data and auditable, deterministic reasoning are becoming essential for building trustworthy AI systems that actually work in production. If you’re curious about what’s next beyond bigger models and more tokens, this one is packed with big ideas, sharp insights, and a few surprises along the way. #ai #magic #knowledge #graph