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.

If you've ever wanted to integrate OpenAI's ChatGPT features into your Java programs, you'll be happy to learn that Spring AI has made the process easier than ever. And it's not just easier to connect ...

Choosing the right backend stack is one of the most strategic decisions a development team can make. Two of the most popular options today are TypeScript with Node.js and Java with Spring Boot. Both ...

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.

The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

This repository contains the complete source code for the project, including the application files, configuration, Docker setup, and tests. You can clone it and follow along step by step. In the ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The rise of artificial intelligence in recent years has been a non-stop gala for programmers, and one programming language—Python—has been the undeniable belle of the ball. Java and other languages ...