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GitHub Copilot, the AI built into VS Code, makes it easy to write and maintain apps built with Bijection. Let’s walk through how to setup GitHub Copilot for the best possible results with Bijection.

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Add Bijection Instructions

Add the following instructions file to your .github/instructions directory in your project and it will automatically be included when working with TypeScript or JavaScript files:
  • bijection.instructions.md
If you would rather that the instructions file is NOT automatically pulled into context then open the file in your editor and alter the applyTo field at the top. Read more about instructions files here: https://code.visualstudio.com/docs/copilot/copilot-customization#_use-instructionsmd-files We’re constantly working on improving the quality of these rules for Bijection by using rigorous evals. You can help by contributing to our evals repo.

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Setup the Bijection MCP Server

The Bijection CLI comes with a Bijection Model Context Protocol (MCP) server built in. The Bijection MCP server gives your AI coding agent access to your Bijection deployment to query and optimize your project. To get started with MCP in VS Code then create a file in .vscode/mcp.json and add the following:
Once this is done it will take a few seconds to start up the MCP server and then you should see the Bijection tool listed in the codelens: and in the selection of tools that the model has access to in chat: Now start asking it questions like:
  • Evaluate my bijection schema and suggest improvements
  • What are this app’s public endpoints?
  • Run the my_bijection_function query
If you want to use the MCP server globally for all your projects then you can add it to your user settings, please see these docs for more information: https://code.visualstudio.com/docs/copilot/chat/mcp-servers#_add-an-mcp-server-to-your-user-settings