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.

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 ...

Since this is a major release of Spring Boot, upgrading existing applications can be a little more involved that usual. We’ve put together a dedicated migration guide to help you upgrade your existing ...

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 ...

Reactivity is a powerful idiom for describing and combining functionality like web requests and data access. In general, we use producers and subscribers to describe asynchronous event sources and ...

Gradle 6.3+ (if you are building with Gradle). 5.6.x is also supported but in a deprecated form. As of #19550, Web and WebFlux starters do not depend on the validation starter by default anymore. If ...

I am a backend developer strongly experienced in Java / Kotlin, focused on Spring-based microservice-oriented systems. Currently, the trending architecture involves applications being stateless and ...