Systematically identifies and fixes failing tests by grouping errors (imports, API changes, logic) and verifying subsets with pytest patterns. For 'fix tests', CI failures, or post-refactor issues.
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Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Systematically identify and fix all failing tests using smart grouping strategies.
Run make test to identify all failing tests.
Analyze output for:
Group similar failures by:
Prioritize groups by:
For each group (starting with highest impact):
Identify root cause
git diffImplement fix
Verify fix
uv run pytest tests/path/to/test_file.py -v
uv run pytest -k "pattern" -v
Move to next group
Infrastructure first:
Then API changes:
Finally, logic issues:
After all groups fixed:
make testgit diff to understand recent changesUser: "The tests are failing after my refactor"
make test → 15 failures identified