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.

It's not hard to create a RESTful web service in Java. In fact, frameworks like Spring Boot, the Eclipse MicroProfile and Jakarta Enterprise Edition make the development of RESTful Java applications ...

Cloud-native and microservices architectures are becoming even more central to modern applications, with Java and Spring Boot powering scalable backend systems. Lightweight frameworks and cutting-edge ...

Frameworks like Spring Boot remain dominant in backend and microservices development thanks to mature ecosystems and extensive support. Cloud-native Java frameworks such as Quarkus and Micronaut focus ...

The Spring Framework is possibly the most iconic software development framework of all time. It once suffered from a reputation of bloat, but it has long since shed that perception. The heart of ...

Turns out Java can do serverless right — with GraalVM and Spring, cold starts are tamed and performance finally heats up. Java’s powerful and mature ecosystem has long been a top choice for enterprise ...

This release upgrades to Spring Framework 5.2. Please refer to Spring Framework’s upgrade documentation for further details. As of #16090, JMX is not enabled by ...