test-healer

To automatically fix failing pytest scripts, you need an automated tool that executes tests, analyzes failures to distinguish test script errors from implementation bugs, and applies targeted repairs to common issues like incorrect mocks, assertions, or fixture usage.

Automated test code repair analyzes test execution failures to identify whether the error stems from the test script itself, such as bad mocks, or from an underlying implementation bug, ensuring that only test code issues are targeted for automated fixing.

You can run pytest with automated test healing by targeting specific feature paths, allowing the process to execute tests within a designated environment like ENV=test and automatically resolve failing test code for that feature.

Yes, automated test repair supports the pytest framework for Python applications and allows you to target specific test file paths or features for automated execution, analysis, and repair of failing test code.

Automated test fixing is limited to repairing common test code errors like incorrect assertions, mocks, and fixture usage; it identifies but does not automatically repair underlying implementation bugs within the application code itself.

Automated test debugging fails to fix application code errors because it is designed to differentiate test script issues from implementation bugs, focusing its automated repair capabilities exclusively on the test code rather than the underlying application logic.