VSCode

Setup VSCode to correctly generate Avo code based on your prompt.

Quick use

In chat window type this and VSCode will use Avo's docs map to generate code.

#fetch https://docs.avohq.io/3.0/docs-map.md

Project-level permanent setup

Copilot automatically applies the .github/copilot-instructions.md file to every chat request. Add a line pointing to Avo's docs:

When working with Avo, use the docs at https://docs.avohq.io/3.0/docs-map.md as a reference.

Or save the docs in your repo and reference the file from .github/copilot-instructions.md:

curl -L https://docs.avohq.io/3.0/docs-map.md --create-dirs -o docs/avo-docs-map.md

VSCode also reads the AGENTS.md file from your workspace root, if you prefer the cross-tool standard.

MCP server

MCP is an API to communicate with AI models. You can add MCP servers and Copilot will communicate with them to get more accurate results.

I suggest using Context7 MCP server which provides many libraries including Avo's docs.

Create a .vscode/mcp.json file in your project (or run the MCP: Add Server command from the Command Palette) with this content:

// .vscode/mcp.json
{
  "servers": {
    "Context7": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp@latest"]
    }
  }
}

Now in Agent Mode you can ask AI anything about Avo, and write use context7 at the end of your prompt.

For example:

create a new Avo resource for a product model. use context7