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 ...

Open-source Java projects advance Jakarta EE compatibility, persistence capabilities, and developer tooling as enterprise teams prepare for the next generation of Java applications.

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.

Mini PCs provide a powerful performance in a compact package. Here are our top picks for the best mini PCs, after deep ...

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.

Retrieval-Augmented Generation (RAG) is transforming how Java developers build AI-powered enterprise systems. Instead of depending on static, pre-trained models, RAG applications combine retrieval ...

Developing Spring applications with Spring Boot is a real time saver. It gets you up and running quickly, and continues to make your life easier as you move to production and start releasing ...

The core use case of this Proof of Concept (PoC) revolves around a banking personal assistant designed to revolutionize the way users interact with their bank account information, transaction history, ...

Bioinformatics tools are essential for performing analyses in the omics sciences. Given the numerous experimental opportunities arising from advances in the field of omics and easier access to ...

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 ...