generate-test-cases

AI-driven test case generation from specifications works by processing provided spec text to output structured JSON cases with titles, steps, and expected results. You provide the specification document or feature description to start generation.

Yes, you can generate positive, negative, and edge test scenarios from a PRD. The tool creates section-based test suites covering multiple scenarios to ensure comprehensive QA coverage from your feature descriptions.

Yes, AI test case generation supports both Web UI and API-driven workflows. It uses prompt and context engineering to produce test cases, allowing you to review cases in the UI or export and commit them via API.

Yes, active API access and the prompt framework are required to generate test cases from feature docs. These components enable the AI to process specifications and produce JSON-formatted cases with expected results.

Using section-based AI generation is the best way to structure test suites from product spec documents. This approach groups multiple test cases, including positive, negative, and edge scenarios, into organized suites for QA planning.

A key limitation is that AI test case generation requires the prompt framework and active API access to produce results. Generated cases also require manual review in the UI or API export before committing to a project.