Insights on AI QA, browser automation, and release workflows for teams shipping product-critical software.
Investigate intermittent browser-test failures with preserved first-attempt evidence, controlled experiments, timing checks, isolation, and measurable repair criteria.
Test a real keyboard journey through navigation, forms, dialogs, errors, and focus recovery, then combine manual evidence with targeted automated checks.
Test an AI extraction feature with related inputs, explicit invariants, negative controls, repeated samples, and clear limits on what the results establish.
Derive negative tests from a valid approval workflow and verify correct rejection, useful feedback, unchanged data, and a successful recovery path.