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.

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

When I started building my TaskFlow API using Java, Spring Boot, Spring Data JPA, Hibernate, MySQL, Swagger, DTOs, Validation, Exception Handling, and Docker, I thought connecting the application to a ...

After 8 years of working on Java and Spring Boot projects — and reviewing countless codebases — I've noticed the same backend design mistakes showing up again and again. Some of them I made myself ...

Many freshers entering the tech industry feel pressured to keep up with every new trend. From learning the latest frameworks ...

Before you start the upgrade, make sure to upgrade to the latest available 3.5.x version. This will make sure that you are building against the most recent dependencies of that line. Please take time ...

Spring Framework 7.0 retains a JDK 17 baseline while at the same time recommending JDK 25 as the latest LTS release. It also introduces a Jakarta EE 11 baseline and embraces Kotlin 2.2 as well as ...

Learn how to turn AI ideas into practical Java applications without fighting unfamiliar tools or excessive boilerplate. This book shows you how to use Spring AI to build intelligent applications with ...

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