# ${PROJECT_NAME} — Agent Context

> Patterns, gotchas, and guidelines for AI agents working on this project.
> **Update this file** when you discover reusable patterns or non-obvious requirements.

## Codebase Patterns

- Use Pydantic models for all request/response validation
- Use dependency injection (`Depends()`) for shared resources
- Use `httpx.AsyncClient` for external HTTP calls
- Use `BackgroundTasks` for fire-and-forget operations
- Structured logging with `structlog` or `logging`
<!-- Add project-specific patterns as you discover them -->

## Common Gotchas

- Always run `uv sync` after pulling — dependencies may have changed
- Database migrations must be run before tests that use the DB
- Async tests need `@pytest.mark.asyncio` decorator
<!-- Add project-specific gotchas -->

## Quality Gates

**All must pass before any commit:**

```bash
uv run ruff check src/ tests/ && uv run ruff format --check src/ && uv run mypy src/ && uv run pytest --cov
```

## Key Files

| File | Purpose |
|------|---------|
| `pyproject.toml` | Project configuration, dependencies |
| `src/${PROJECT_SLUG}/main.py` | Application entry point |
<!-- Add project-specific key files -->

## Testing Approaches

- Unit tests: pytest with fixtures in `conftest.py`
- API tests: `httpx.AsyncClient` with `TestClient`
- Coverage minimum: 85%
<!-- Document project-specific testing patterns -->