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 ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Client-side JavaScript frameworks are all the rage, but they aren’t always the right answer if ...

Earlier this month a new extension of the Spring Framework, the Spring Social Framework, was officially released. Spring Social is designed to let developers connect Java applications to SaaS APIs ...

Java users can integrate ML into their Spring applications with Spring Boot Starter for Deep Java Library. Apply these frameworks to integrate ML capabilities into microservices for deep learning.

Community driven content discussing all aspects of software development from DevOps to design patterns. The Eclipse based STS IDE isn’t a requirement for Spring Boot development, but it is highly ...

Request handling is the bread and butter of Java web application development. In order to respond to requests from the network, a Java web application must first determine what code will respond to ...

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 ...