Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Open-source Java projects advance Jakarta EE compatibility, persistence capabilities, and developer tooling as enterprise teams prepare for the next generation of Java applications.

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

When we build enterprise systems, we often reach for the same core set of annotations. However, Spring Boot offers a suite of advanced "conditional" and "configuration" annotations that can ...

Spring Framework 7.0 retains a JDK 17 baseline while at the same time recommending JDK 25 as the latest LTS release. It also introduces a Jakarta EE 11 baseline and embraces Kotlin 2.2 as well as ...

Usually, our applications operate with the current state of a domain object. But sometimes, we need to know the entire history of the domain object changes. For example, we want to know how an order ...