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 ...

This project implements an MCP server that wraps the Spring Initializr API, enabling AI assistants (like Claude) to create Spring Boot projects with custom configurations. Instead of manually visiting ...

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 ...

Your browser does not support the audio element. In today's fast-paced and data-driven world, efficiently handling and processing large volumes of data can be crucial ...