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 Play Framework combines productivity and performance making it easy to build scalable web applications with Java and Scala. Play is developer friendly with a "just hit refresh" workflow and ...

AvaloniaUI has previewed MAUI support for Linux and WebAssembly browser applications – platforms Microsoft's own cross-platform .NET framework lacks – but low adoption and persistent bugs are likely ...

Abstract: In order to make the Web services, Web applications in Java more powerful, flexible and user friendly, building unified Web applications is very significant. By introducing a new ...

Web development is moving through one of its most dynamic phases in recent years. Faster devices, higher user expectations, and the growing role of artificial intelligence are reshaping how websites ...

Backend-heavy Java projects with minimal frontend skills Enterprise apps requiring long-term stability Data-intensive UIs with complex interaction Quick prototypes ...

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 ...

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 Java ecosystem brings you unmatched speed and stability. Here’s our review of seven top-shelf Java microframeworks built for modern, lightweight application development. Java microframeworks are ...