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.

In a world of microservices development and Docker-based deployments, RESTful web services tend to grab all the headlines. However, there's still a place in modern enterprise architectures for ...

Are you a developer who needs to create and configure a new Spring Boot project? Perhaps you're intimidated by all the options? Don't worry, the Spring Boot Initializr has got your back. After the ...

Cloud-native and microservices architectures are becoming even more central to modern applications, with Java and Spring Boot powering scalable backend systems. Lightweight frameworks and cutting-edge ...

Disclaimer- The article is based on learning from session I attended on “Building Java AI Agents with Spring AI” , which is extract of AWS Immersion Day with contents listed here - To enable Spring ...

"Artificial intelligence, if we're being frank, is a con: a bill of goods you are being sold to line someone's pockets." That is the heart of the argument that linguist Emily Bender and sociologist ...

The version of Spring Framework used by Spring Boot 3.2 no longer attempts to deduce parameter names by parsing bytecode. If you experience issues with dependency injection or property binding, you ...

Introduction: In today’s fast-paced development environment, deploying applications quickly and efficiently is crucial. Docker has emerged as a powerful tool for achieving this goal, providing a ...

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 ...