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 ...

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 ...

When choosing a framework for microservices, startup time and memory usage are critical — especially in cloud environments with autoscaling, containers, or serverless functions. All three frameworks ...

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 Batch 5 is based on Spring Framework 6 which requires Java 17 as a minimum version. Therefore, you need to use Java 17+ to run Spring Batch 5 applications. In ...