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 ...

Building web services and documenting RESTful endpoints is no easy task, but testing RESTful APIs has always been a particularly sore point with Spring Boot and Java. Sure, you can test a GET ...

Spring Boot is the most popular Java framework for building cloud-native applications, and Hibernate is the most popular object-relational mapping framework for implementing the JPA spec. This Spring ...

The Spring Framework is possibly the most iconic software development framework of all time. It once suffered from a reputation of bloat, but it has long since shed that perception. The heart of ...

The goal of the project is to make it easy to have proper and consistent error responses for REST APIs build with Spring Boot. See https://wimdeblauwe.github.io/error ...

I am a backend developer strongly experienced in Java / Kotlin, focused on Spring-based microservice-oriented systems. A microservice is a small, independent service that is designed to perform a ...

There are plenty of ways to integrate an AI model in your code. But sometimes, when you start, it is really hard to pick one. That’s why, I decided to share my experience in going through this path.

Since this is a major release of Spring Boot, upgrading existing applications can be a little more involved that usual. We’ve put together a dedicated migration guide to help you upgrade your existing ...