Show HN: Agent Context – let your AI coding tools see your reference projects (github.com)

Agent Context has been introduced as a new extension for AI coding tools, allowing developers to seamlessly attach external reference projects directly to their workspace without altering their original code repositories. By using symbolic links, Agent Context enables real-time access to valuable resources such as previous services or internal starter projects, facilitating better context for modern AI tools like GitHub Copilot and ChatGPT. This approach minimizes clutter while maximizing the usability of reference code for both human developers and AI assistants, enhancing productivity and consistency in coding tasks. The significance of Agent Context lies in its ability to leverage past work as dynamic context for AI, directly improving the AI's performance on coding tasks by providing clear instructions and relevant examples. Developers can easily browse and reference connected projects within Visual Studio Code, leading to improved code generation and a clearer alignment on project patterns. With features like automatic .gitignore management and customizable instructions for each reference folder, Agent Context streamlines workflows while keeping the codebase clean, offering a lightweight solution to integrate AI capabilities into development processes effectively.