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.

Aseon Labs, which came out of Y Combinator's 2026 spring cohort, has raised $10 million from Crane Venture Partners and ...

Top Spring Boot courses in 2026 help Java developers learn backend skills, microservices, cloud basics, and real project building, with simple lessons, strong concepts, and career-ready knowledge for ...

This crash course on how to build a RESTful API with Spring Boot teaches everything you need to know to immediately develop enterprise-grade microservices in Java. In just 90 minutes you'll learn how ...

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 ...

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 Java ecosystem brings you unmatched speed and stability. Here’s our review of seven top-shelf Java microframeworks built for modern, lightweight application development. Java microframeworks are ...

The first decision to kick off a greenfield Java project usually sounds breezy: "Let's start with Spring Boot, it's everywhere." A few days in, someone mutters that Quarkus boots faster and saves ...

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 ...