From PRDs to test cases: building AI-powered QA
summary
An internal AI-powered testing platform converts PRDs, visual designs and OpenAPI specs into runnable unit, integration and UI test cases across 160+ production APIs and ML models, using context design and prompt strategies plus intelligent test selection to cut release delays and production leakages. Adoption required hands-on workshops and custom prompts before QA teams trusted generated tests. Built features include automated test generation, prioritised regression selection and plans for self-healing tests and smarter regression using swarms of AI agents.
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chapters (5)
- 0:00Introduction
- 3:53Production leakages impact
- 5:39Building QA trust in AI
- 6:44AI-powered QA future
- 8:51Q&A
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