TheiaCon 2025 unveiled a comprehensive demonstration of the AI-native Theia IDE, highlighting fully customizable agents, natural-language coding workflows, and autonomous testing. This showcase illustrates how open, extensible AI tooling enables developers to shape their own intelligent development workflows.
This TheiaCon 2025 highlight talk breaks down how Claude Code was transformed from a terminal tool into a deeply integrated, IDE-aware experience inside Eclipse Theia. The article also outlines reusable integration patterns for bringing any external AI agent natively into modern development environments.
Eclipse Theia is the foundation behind many next-gen dev tools, and now you can help shape its future.
With new options for strategic and collective sponsoring, organisations can reduce risk, guide innovation, and keep the platform strong for the long term.
CrossModel demonstrates a unified modeling experience built on Eclipse Theia, combining form-based, graphical, and textual editors, all synchronised via a language server.
Project context files are the secret to reliable, efficient AI coding. Learn 3 proven ways to make them more effective, and turn AI from a guessing game into a productive teammate. In the AI-native Theia IDE and any other tool such as Copilot, Claude Code, Cursor, and more.
The TheiaCon 2025 keynote provides a comprehensive update on a breakthrough year for the Eclipse Theia ecosystem, including major AI, platform, and architecture enhancements. A great overview for anyone interested in modern, open, AI-native tooling. The recording is now available!
Participate in the Eclipse Aidge Developer Days in Paris on 22-23 January 2026!
Eclipse Theia 1.66 delivers a feature-rich update with persistent AI chat sessions, slash commands, agent modes, and new GitHub and Project Info agents. It also brings significant debugging, UI, and API improvements. Check out the full announcement!
Across the Eclipse Foundation, an expanding ecosystem of projects is redefining what AI can do, with efforts that span developer tools, data governance, trustworthy model design, and intelligent agent orchestration.
ADL streamlines agent design, helping enterprises cut complexity, speed deployment, and scale agentic AI with confidence.