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Use LLMs (OpenAI, Google Gemini, or Anthropic Claude) to generate test cases from a user story. Support outputs in plain English (descriptive narratives) or BDD/Gherkin style (e.g., Feature/Scenario/Given/When/Then). Optionally integrate with Jira to fetch user stories, prerequisites, instructions, etc.
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18
commits
feat: stabilize test case generation with deterministic settings and prompt constraints
50501bfView on GitHubrefactor: modularize integrations and improve TestRail error handling
05ce17aView on GitHubfix: validate TestRail push earlier and improve generate-page UX
23c7892View on GitHubfeat: implement settings API, improve review workflow, add rejection reason logging, and fix backend startup issues
a2281f8View on GitHubfeat(ui,api): add polling for live metrics + fix SPA refresh 404 handling
93cf796View on GitHubfeat(openrouter,settings): add task-based OpenRouter routing + fix settings tabs styling
a497ccaView on GitHubfeat(settings): match UI to screenshots with tabs and layout
50b84a6View on GitHubfeat: integrate review queue, dashboard, and locator pipeline updates
00c5525View on GitHubfeat: add strict knowledge-base enforcement and cloud-only model routing
9205eb4View on GitHubfeat: add TestRail case selection and env template placeholders
8a1975dView on GitHub