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.

MCP (Model Context Protocol) provides a universal standard for connecting LLMs to external data sources and tools, eliminating the need to manually copy-paste context into a chat session and enabling ...

. ├── src/ # Spring Boot 3.3 + Java 21 login demo (two intentional bugs) ├── playwright/ # Playwright CLI harness — agent writes tests here ├── labs/ # Two hands-on tasks for the 17-min lab slot ├── ...

There is no other MCP server that analyzes Spring Boot Actuator endpoints. This is the only tool that lets your AI assistant understand your Spring Boot application's health, performance, ...

Microsoft has moved its Model Context Protocol (MCP) support for Azure Functions to General Availability, signaling a shift toward standardized, identity-secure agentic workflows. By integrating ...

Model Context Protocol is becoming a prerequisite for AI travel distribution. In the agent era, not being machine-readable will be the fastest way to become invisible. As AI remakes the travel ...

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 ...

Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI ...

Is the Model Context Protocol (MCP) on the verge of obsolescence? For years, MCP has been a cornerstone in AI agent design, offering a standardized way to integrate tools and manage interactions. But ...