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 ...
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 ...
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.
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 ...
Classes, methods and properties that were deprecated in Spring Boot 4.0 have been removed in this release. Please ensure that you aren’t calling deprecated methods before upgrading. The Apache Derby ...
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 ...
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