An IBM and Red Hat report says AI is making vulnerability discovery easier, but patch delays, limited maintainer resources ...

Java developers can use Google’s toolbox to address their databases via AI using MCP – currently with limitations.

Nice to meet you, I'm kazu, a software engineer🦌I've been keeping a learning log since I started aiming to be an engineer, ...

This article shows you how to use Azure Service Bus in Java applications built with Spring Framework. Azure provides an asynchronous messaging platform called Azure Service Bus (Service Bus), which is ...

When choosing a framework for microservices, startup time and memory usage are critical — especially in cloud environments with autoscaling, containers, or serverless functions. All three frameworks ...

This document provides support ranges for Spring Framework branches and guidance on upgrading from earlier versions. If you see anything missing or inaccurate, please submit a pull-request against ...

AI on the JVM accelerates: New frameworks like Embabel, Koog, Spring AI, and LangChain4j drive rapid adoption of AI-native and AI-assisted development in Java. Java 25 anchors a modern baseline: The ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

Spring Boot 4.0 has officially landed. At JetBrains, we’ve been tracking the updates since the first milestones to ensure that IntelliJ IDEA delivers a smooth and reliable development experience.

Spring Framework is a lightweight Java framework widely used for building scalable enterprise applications. It is often used in conjunction with Spring Security to enforce authorization and ...