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.

Are you prepared for a cloud-native migration? This quiz contrasts the microservice vs. monolithic approaches to software development and will help gauge your knowledge. Continue Reading ...

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

Discover project management methodologies, compare Agile, Waterfall, Scrum, and more, then choose the right approach for your projects. Key takeaways: The most common types of project methodologies ...