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How to inspect, edit and test a repo from the terminal with Agav

Ask an agent to read code, change files, run tests and verify the result inside your own project.

Short answer: Install Agav with curl -fsSL https://agav.dev/install.sh | bash; then open a terminal in your repository folder; start the agent with agav, or choose a provider with agav --provider openai --model gpt-4o. All steps.

Authorization notice. Agav is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Remote script. The install step pipes a script from Agav.dev directly into bash, so review the script first if your policy requires it.

Credentials. Cloud providers need your own API key, and the README does not say how keys are entered, so check the docs before pasting one.

Who it is forA developer working in a real repository who wants help fixing or changing code without leaving the terminal.

The problemSwitching between an editor, a chat window and a test runner slows down small code changes and makes it hard to confirm the result.

The outcomeThe agent reads the relevant files, proposes and applies edits, runs the tests, and you can revert an edit with /undo.

What you need first

  • A terminal on your machine
  • The Agav binary, installed with the install command in the README
  • An API key for a cloud provider, or a local Ollama setup
  • A project folder or repository you want the agent to work in

Steps

  1. Install Agav with curl -fsSL https://agav.dev/install.sh | bash.
  2. Open a terminal in your repository folder.
  3. Start the agent with agav, or choose a provider with agav --provider openai --model gpt-4o.
  4. Ask for a specific change, such as fixing one failing test, and let the agent inspect the files and run the tests.
  5. Approve or reject each destructive action when prompted, and use /undo to revert an edit you do not want.

Prompt for your agent

Using the Agav repo at prapaa-ai/agav, run `agav` inside <repo-path> and ask it to fix <failing-test-name>. Expected output: a list of edited files and the test run result. Verify that the test command the agent ran passes after the edit.

Caveat. Agav is an experimental beta, so the README warns of breaking changes and rough edges.

Use this in your AI agent

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Using the Deduped MCP, get the setup steps for prapaa-ai/agav and "Inspect, edit and test a repo from the terminal"

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