Spring AI 2.0 brings the Java AI framework to a new baseline built for Spring Boot 4.x and Spring Framework 7. The release improves agentic app development with unified tool calling, progressive tool ...

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 this article, we are going to learn how to connect LM Studio to VS Code. Connecting LM Studio to VS Code allows developers to use locally hosted AI models directly inside their coding workflow. How ...

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...

The Java Community Process formally launches development of Java SE 28, with Project Valhalla once again positioned as the release's most closely watched feature.

Since AI has become a powerful trend in the field of technology, it is natural for potential developers to wonder whether ...