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 ...

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.

Spring Batch is a powerful module of the Spring framework that provides out-of-the-box implementation for batch processing tasks. It is used in scenarios where data needs to be processed in multiple ...

The introduction of Spring annotations such as @Bean and @Component, which greatly simplify how to provision and autowire Spring managed beans, triggered a mass exodus from XML-based Spring ...

GraphQL JPA Query library uses JPA specification to derive and build GraphQL Apis using GraphQL Java for your JPA Entity Java Classes. It provides a powerfull JPA Query Schema Builder to generate ...

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 ...

This project is now superseded by the automatic configuration in Spring Boot 2.4. Spring Boot 2.4 includes the same means of configuring a standalone Neo4j Driver instance, including the same health ...

Java 25 integrates Compact Object Headers as a product feature through JEP 519, offering developers a potential 30% CPU reduction and significant memory savings without requiring any code changes. The ...

There are very good reasons for Java’s long-lived popularity as a server-side platform. It combines unbeatable maturity and breadth with a long and ongoing history of innovation. Using Spring adds a ...