Scaffold a project with Vibe Code

Use the Vibe CLI ↗ to generate a full project from a natural-language description, review every change before it's applied, and run the result.

• Natural-language scaffolding: describe what you want and the CLI creates the files.
• Step-by-step confirmation: Vibe Code splits large tasks into steps and asks for approval.
• Full preview: see every file change before it's written to disk.

By the end you'll have a working project scaffolded from a single prompt.

Time to complete: ~10 minutes

• Vibe CLI installed and configured. If you haven't done that yet, run the Install the Vibe CLI ↗ quickstart first.

Start in a fresh directory so the CLI generates the project from scratch.

mkdir my-project && cd my-project
vibe

mkdir my-project && cd my-project
vibe

The CLI starts with an empty context, ready to scaffold.

Give the CLI a clear description. Be specific about language, framework, and key features. For example:

Create a Python Flask API with two endpoints: a /health endpoint that returns {"status": "ok"} and a /predict endpoint that accepts a JSON body with a "text" field and returns {"label": "positive", "score": 0.95}. Include a requirements.txt and a README.

Vibe Code breaks the request into steps and begins generating files. Before creating or editing any file, it shows a preview.

For each step, the CLI displays the files it plans to create or modify, the content of each file, and a confirmation prompt. Press one of the approval keys:

• Enter, 1, or Y to approve this specific edit.
• 2 to approve all edits to this file in the current session.
• 3 to approve all edits in this directory.
• 4 to approve all edits in the working directory.
• N to reject and send feedback.

After each approved step, the CLI shows the result.

Continue approving steps until the project is complete.

Check that the project was created:

ls -la

ls -la

You should see the files Vibe Code generated (for example, app.py, requirements.txt, README.md).

Ask the CLI to start the server and test the endpoints for you:

Install the dependencies, start the server, and run a curl against /health and /predict to verify they work.

Or run it yourself:

pip install -r requirements.txt
python app.py

pip install -r requirements.txt
python app.py

Test the endpoints:

curl http://localhost:5000/health
curl -X POST http://localhost:5000/predict \
  -H "Content-Type: application/json" \
  -d '{"text": "Mistral is great"}'

curl http://localhost:5000/health
curl -X POST http://localhost:5000/predict \
  -H "Content-Type: application/json" \
  -d '{"text": "Mistral is great"}'

Both endpoints should return valid JSON responses.