Description
Hi everyone! I noticed a lot of Pull Requests, particularly in relation to new features and tests.
I'd like to help improve the test coverage using CodeBeaver, an AI agent that I built (it's free for open source!).
To demonstrate what's possible, I've created a PR using CodeBeaver:
Raise LookupError in partition_all when length is invalid - Unit Tests
I kicked off CodeBeaver from one of your latest Pull Requests: Raise LookupError in partition_all when length is invalid.
What the PR demonstrates:
- Adds 1 new test file:
toolz/tests/test_itertoolz.py - All new tests pass ☑️
- No existing tests required updates.
- No bugs detected in your changes. Good job! 🐛
On top of that: CodeBeaver does not only aim for coverage but also ensures that all edge cases are considered during the testing process.
How it works:
CodeBeaver analyzes your code changes in PRs:
- Automatically generates and updates tests
- Opens PRs with new/updated tests
- Helps catch bugs before they reach production
Next steps
If this interests the maintainer team, I'm happy to:
- Walk through how the tests were generated
- Help set up automated test generation for future PRs (takes ~5 minutes)
- Focus on specific areas you'd like to improve coverage for
Let me know what you think! Happy to adapt this approach based on the project's needs.