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.

Distributed tracing usually sounds complicated. Most Spring Boot developers assume they must install OpenTelemetry SDKs, collectors, agents, and a full backend like Jaeger or Tempo before they can ...

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 ...

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 ...

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 ...

How do you access a RESTful web service? That depends on what you're trying to accomplish. If you just want to test connectivity, a terminal-based utility like curl is a great RESTful web service ...