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 ...

Spring Boot's ability to auto-configure the development environment so that developers can quickly integrate databases, Kafka queues, cloud services and AI models into their apps is one of the popular ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

In my last article, I detailed a high-level comparison of two dependency injection frameworks: Guice and Spring. As I mentioned then, although they both fully embrace the principles of DI, they have ...

There is still a lot of Java applications out there that power our businesses. But what happens when we move those Java applications to the public cloud? Can we deploy them without rewriting them and ...

The JHipster team has shipped JHipster 9.0.0-beta.2, a follow-up to the project's first 9.0 beta, aimed squarely at improving generator stability while pushing the stack forward with Spring Boot 4.x.

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.