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 ...

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

Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...

The Java Community Process formally launches development of Java SE 28, with Project Valhalla once again positioned as the release's most closely watched feature.

As enterprises increasingly demand fail-safes against single-vendor reliance, Sakana is proving that packaging collective ...

RESTful clients can update the score by invocating the same URL through a PUT invocation while also passing query parameters. Again, the program will return a JSON-based representation of the score ...

Java is a popular computing platform, but lately, Java is blamed for its security vulnerabilities. It is recommended by many to disable or completely uninstall Java. However, there are applications ...

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 ...

Developing AI agents capable of performing real-time web searches represents a significant advancement in creating systems that deliver accurate, timely, and contextually relevant information. By ...