Quick Tests and Documentation with AI
Discover how to efficiently add inline comments, docstrings, unit tests, and README documentation to your Python code using Windsurf AI Cascade. This lesson helps you turn basic functions into well-documented, test-covered projects, improving code clarity, maintainability, and ease of collaboration by leveraging AI-assisted prompts and automation.
By now, we’ve seen Windusurf build entire features, refactor messes, and keep up with even the most chaotic workflows. But let’s be real: building is the fun part. The rest—writing tests, commenting code, documenting behavior—is where motivation goes to die.
You know what we’re talking about:
That app you left for yourself to “add tests later.”
The README that still says “WIP” four commits into production.
The function you wrote six weeks ago that does something important, but… You forget what?
This is the unglamorous scaffolding of software—essential for quality, longevity, and team sanity. And Windsurf Cascade happens to be great at it. This lesson will use Cascade to turn a bare Python function into a fully testable, documented mini project. You’ll see how to:
Ask Cascade to write useful inline comments and docstrings.
Generate robust unit tests using
pytest.Autogenerate a
README.mdwith installation and usage instructions.Troubleshoot failing tests without switching context.
By the end, you’ll stop thinking of testing and documents as chores and start thinking of them as prompts—the kind ...