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 ...

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.

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 ...

Spring Batch is a powerful module of the Spring framework that provides out-of-the-box implementation for batch processing tasks. It is used in scenarios where data needs to be processed in multiple ...

The introduction of Spring annotations such as @Bean and @Component, which greatly simplify how to provision and autowire Spring managed beans, triggered a mass exodus from XML-based Spring ...

Your browser does not support the audio element. When choosing a framework for microservices, startup time and memory usage are critical — especially in cloud ...

Spring Boot is one of the most popular and accessible web development frameworks in the world. Find out what it’s about, with this quick guide to web development with Spring Boot. Spring’s most ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between the Spring @Bean and @Component annotations is that the @Bean ...

Spring Framework 5.0 requires JDK 8 (Java SE 8), since its entire codebase is based on Java 8 source code level and provides full compatibility with JDK 9 on the classpath as well as the module path ...