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.
Your browser does not support the audio element. When choosing a framework for microservices, startup time and memory usage are critical — especially in cloud ...
Your browser does not support the audio element. How we designed a system where engineers write specifications instead of code, and AI agents handle the rest — from ...
Spring Boot is one of the most popular and accessible web development frameworks in the world. Find out what it’s about, with this quick guide to web development with Spring Boot. Spring’s most ...
When we unit test Spring MVC applications, we test each layer separately from the others. We create mock implementations, typically using Mockito, for each layer’s dependencies, then we simulate the ...
Classes, methods and properties that were deprecated in Spring Boot 1.3 have been removed in this release. Please ensure that you aren’t calling deprecated methods before upgrading. Log4j 1 support ...
The need to manage a user base for an online system is very frequent. Goal of this project is to offer a generic user's data management microservice. This microservice can offer a good and solid ...
In the dynamic landscape of technological advancements, a recurring theme resonates within the realms of innovation: AI-driven development. Dive with us into the transformative realm where artificial ...
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