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 ...
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 ...
Learn about the best practices for concurrency in Java to ensure your multi-threaded applications are efficient, synchronized, and error-free. Concurrency in Java is the ability of multiple threads to ...
In this final article in the Creating DSLs in Java series, Venkat Subramaniam lets you see for yourself why JVM-compatible languages such as Scala, Groovy, and JRuby are better suited to creating ...
Virtual threads are being proposed for Java, in an effort to dramatically reduce the effort required to write, maintain, and observe high-throughput concurrent applications. A draft JDK Enhancement ...
Writing a Java application (see Android) that consumes a JSON API usually involves mapping the JSON objects to Java classes for use in the software. This is a tedious and repetitive task to say the ...
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