JetBrains IDEs

Setup JetBrains AI Assistant and Junie to correctly generate Avo code based on your prompt in RubyMine and other JetBrains IDEs.

Quick use

Use the /web command in the AI chat to make it fetch the docs, then write your prompt.

bash

/web Read https://docs.avohq.io/undefined/docs-map.md and use it as a reference for Avo code.

Junie reads the .junie/AGENTS.md file from your repository (the older .junie/guidelines.md still works too). Add a line pointing to Avo's docs:

bash

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

Or save the docs in your repo and reference the file from .junie/AGENTS.md:

bash

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

For the AI Assistant chat, add the same line to a project rules file under .aiassistant/rules/.

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

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

Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Open the command menu in the top-left corner of the MCP dialog and choose As JSON
Paste this:

json

{
  "mcpServers": {
    "Context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}

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

For example:

bash

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