Offering help: Improving Unit Tests

[erlapso]

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:
CodeBeaverAI#1
that adds comprehensive tests to the last Pull Request that was opened here: Added function to stenography.py to embed prompt in to a code block.

What the PR demonstrates:

• Increases coverage by significant margins across multiple files:
  • tests/test_app.py: New coverage of 100.00% (Improvement: +100.00%)
  • tests/test_http_spec.py: New coverage of 97.96% (Improvement: +97.96%)
  • agentic_security/test_lib.py: New coverage of 89.78% (Improvement: +27.01%)
• No existing tests required updates, and no bugs were detected in the recent changes.

On top of that: If you check the PR, you'll see that CodeBeaver does not only focus on coverage—it also adds all the edge cases it can think of (we make it iterate 3 times on that alone).

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 (none found in this case!)

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)

Again, it's free for open source.

Let me know what you think! Happy to adapt this approach based on the project's needs.