Spring AI 2.0 Made the Boring Parts First-Class. That's the Actual News.
Spring AI 2.0's real story isn't a new model. It's reliability plumbing: self-correcting structured output and an inspectable tool-calling loop. From a Java engineer who hand-rolled both before the framework shipped them.
Your Java AI Agent Isn't Dumb. Your Context Is.
57% of enterprise AI agents have quality problems. Most teams switch models. The actual fix is usually one of these 5 context engineering mistakes — and I've made most of them myself.
MCP Server Performance: What 39.9 Million Requests Say About Language Choice
After reading TM Dev Lab's benchmark across 15 implementations, I think defaulting to Python for MCP servers is a mistake for production. Java and Go are in a different tier.
Spring AI vs LangChain4j: Which Java AI Framework Should You Choose in 2026?
A production-tested comparison of Spring AI 1.0 and LangChain4j 1.0 — architecture, developer experience, RAG capabilities, performance benchmarks, and when to use each.
Python Built the AI Lab. Java Is Building the AI Factory.
Why enterprise teams are choosing Java for production AI — and why the Python vs Java debate misses the point entirely.