Quick Start¶

1. Scaffold a new project¶

dev start

You'll be asked four questions:

Project name

Project name (or . to scaffold in current folder): my-ai-api

Project structure

❯ AI / ML    app/  src/inference  src/services  src/database  models/  tests/  docs/  .github/
  API        app/  src/services  src/database  tests/  docs/  config/
  Minimal    app/  tests/  config/
  None       empty project (just pyproject.toml + .gitignore)

Optional features

◉ [Docker]    Dockerfile + .dockerignore
◉ [Claude]    .claude/ folder for Claude Code integration

Virtual environment

❯ Yes — create .venv now (runs uv venv)
  No  — I'll do it manually

2. Enter your project and sync dependencies¶

cd my-ai-api
uv sync

3. Copy environment variables¶

cp .env.example .env
# fill in your API keys

4. Start building¶

Your project structure is ready. If you selected Claude, open Claude Code in the project directory — it will read .claude/CLAUDE.md and understand your project layout immediately.

claude  # opens Claude Code

Next steps¶

Browse available Claude Code skills: dev skills list
Find a skill for your use case: dev skills find <keyword>
Read the full dev start reference