LLM 2
Large language models are no longer a curiosity for the Java world. These posts and podcast episodes look at LLMs from the Java developer’s angle: storing and querying vector embeddings, building search and chat features on top of OpenJDK, and using AI as a coding partner without giving up control of the codebase. Expect conversations about the tooling, the tradeoffs, and what it means when “the model” becomes another dependency in your stack.

Foojay Podcast #62: Better Coding with AI: Friend or Enemy?
AI tools promise faster code and smarter suggestions, but how far can we trust them inside a real Java project? In this Foojay Podcast #62, we sat down with Grace Jansen, Sean Li, …
Foojay Podcast #56: Vectors in Java Code, Databases, and LLMs
Vectors sit at the heart of modern AI, yet most Java developers rarely touch them directly. This episode digs into what a vector really is, how databases store them, and why large …