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 ...

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 ...

To make DI work, Spring uses several key annotations to identify and wire components:@Component: Marks a class as a "Bean" to be managed by the Spring container.@Service, @Repository, @Controller: ...

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.

Classes, methods and properties that were deprecated in Spring Boot 4.0 have been removed in this release. Please ensure that you aren’t calling deprecated methods before upgrading. The Apache Derby ...

Spring Boot is an open-source framework built on top of the Spring Framework that simplifies the development of Java-based applications. It is designed to make it easier to create stand-alone, ...