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 ...

Migrating a Spring Boot application from the traditional blocking MVC model to the reactive WebFlux model is not a simple dependency swap — it’s a fundamental architectural shift. This guide walks you ...

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 ...

In this tutorial we will learn how to use spring webflux along with spring data r2dbc to build ,test and consume reactive microservice. In the era of microservices, building scalable and responsive ...

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 ...

Java users can integrate ML into their Spring applications with Spring Boot Starter for Deep Java Library. Apply these frameworks to integrate ML capabilities into microservices for deep learning.