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.

A popular tutorial on how to create REST web services with Eclipse and the TomEE Plus application server regrettably caused some confusion. A number of readers tried to deploy the application to a ...

Spring AI Alibaba Admin is a one-stop Agent platform that supports visualized Agent development, observability, evaluation, and MCP management, etc. It also integrates with open-source low-code ...

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 ...

Frameworks like Spring Boot remain dominant in backend and microservices development thanks to mature ecosystems and extensive support. Cloud-native Java frameworks such as Quarkus and Micronaut focus ...

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 ...

When it comes to building microservices and applications that thrive in the cloud, developers are faced with a critical choice: which Java framework to use? Two standout options are Spring Boot vs ...