antigravity-workflows

Here’s how antigravity-workflows can automate unit test generation for a Python Django API project:

**Step 1: Identify Reusable Prompts**
From the antigravity-workflows community, I selected the 'unit-test-generator' template, which is pre-configured for Python/Django projects. This template includes placeholders for API endpoints, request/response schemas, and edge cases.

**Step 2: Adapt the Template**
I customized the template for my project’s `/api/v1/users/` endpoint. The prompt was adjusted to:
```
Generate unit tests for the Django API endpoint `/api/v1/users/` using pytest. Include tests for:
- GET requests with valid/invalid user IDs
- POST requests with valid/invalid payloads
- PATCH requests for partial updates
- DELETE requests with proper authorization
- Edge cases: empty database, rate limiting, and invalid tokens
```

**Step 3: Integrate with VS Code**
The generated tests were automatically saved to `/tests/unit/test_users.py` in my VS Code workspace. I used the Python extension to run the tests directly from the editor, with results appearing in the test explorer:
```
============================= test session starts ==============================
test_users.py::TestUserAPI::test_get_user_valid_id PASSED
test_users.py::TestUserAPI::test_post_user_invalid_payload FAILED
test_users.py::TestUserAPI::test_patch_user_unauthorized PASSED
```

**Step 4: Validate Results**
I reviewed the test coverage using pytest-cov, achieving 92% coverage for the `users` app. The antigravity-workflows template saved me ~4 hours of manual test writing and ensured consistency across the team’s testing approach.

**Next Steps:**
- Commit the generated tests to the repository.
- Share the adapted prompt template with the team for reuse in other API endpoints.
- Use Productiv to track the time saved (4 hours) and associate it with the project’s budget for tooling efficiency.