debug-tests

Debug failing pytest tests by enforcing a prioritized root-cause-first investigation workflow that systematically checks fixtures, environment mismatches, dependency drift, and test isolation before modifying application code to prevent recurring test failures.

Resolve flaky tests in CI by following a structured root-cause-first analysis that investigates fixture scope issues and shared test state, preventing superficial rationalizations like adding sleeps or mocking away failures that defer the actual underlying problem.

Stop recurring test failures by investigating environment mismatches and dependency drift through a structured pytest debugging process before adjusting any application code, ensuring all fixes target the actual underlying root cause instead of symptoms.

Yes, this structured test debugging approach applies to Python software engineering workflows involving pytest test suites, CI test failures, and flaky test resolution across both local and remote development environments without requiring specific dependencies.

Avoid rationalizations like adding sleeps or mocking away failures when fixing CI test failures, as these defer problems instead of solving them; use guardrails to enforce root-cause investigation of fixture scope and shared test state first.