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.

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

Abstract: To support managers in effectively distributing and overseeing IT technology teaching resources, the author suggests implementing an online education system built on the Spring Boot ...

This crash course on how to build a RESTful API with Spring Boot teaches everything you need to know to immediately develop enterprise-grade microservices in Java. In just 90 minutes you'll learn how ...

AI on the JVM accelerates: New frameworks like Embabel, Koog, Spring AI, and LangChain4j drive rapid adoption of AI-native and AI-assisted development in Java. Java 25 anchors a modern baseline: The ...

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 ...

We’ll start with the most far-reaching addition, which the spec describes as “a new Iterator global with associated static and prototype methods for working with iterators.” The most exciting part of ...

Course Management: Managing courses, including operations for course authoring. Rating System: Enable platform users to rate courses. Between both contexts there is an asynchronous, event-driven, ...

In this article we're going to compare some essential metrics of the web applications using two different Java stacks: Spring Boot and Eclipse Microprofile. And since there are several implementations ...