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Integrate external codebases for smarter AI coding assistance.
Pitch

Agent Context enhances AI tools like Copilot and Cursor by allowing direct access to external codebases as live references. This keeps the workspace clean and boosts coding efficiency, enabling AI tools to generate better code based on valuable context without the need to copy files. Streamline your development experience while leveraging your past work.

Description

Agent Context is a powerful tool designed to enhance AI-assisted development by allowing coding tools like GitHub Copilot and Cursor to access valuable reference code without the need for duplication. Rather than copying essential code into a repository, Agent Context creates seamless live references to external folders, ensuring all necessary context is readily available to both developers and AI tools.

Key Features

  • Live References: Attach external folders as live references, keeping your repository clean and organized without copying or vendoring code.
  • Easy Management: Utilize a dedicated sidebar to manage attached context with options to add, refresh, or remove folders safely.
  • Shared Instructions: Generate and maintain a shared instructions file to inform both users and AI about available reference projects and their utility.
  • Integration with IDEs: Browse attached folders directly in Visual Studio Code, enabling AI tools to efficiently reference them in prompts.

How It Works

When a folder is attached, Agent Context:

  1. Creates a symlink in a designated workspace folder (default: .examples/).
  2. Stores relevant metadata in a .symlinks.json file.
  3. Updates the .gitignore to manage symlink entries.
  4. Optionally updates an instructions file for accurate context awareness.

Use Case Example

For instance, when working on /projects/current-app and attaching an example folder from /projects/reference-apps/nest-auth-example, Agent Context facilitates direct browsing and referencing of that example. This allows developers to leverage AI tools effectively, with prompts such as:

Implement authentication similar to the nest-auth-example in .examples

Benefits

Designed for teams and developers who frequently reuse patterns, this tool optimizes project workflows by ensuring everyone is aligned on reference implementations while minimizing code redundancy. By enhancing the context available to AI tools, Agent Context empowers developers to produce better, more consistent code.

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