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ai-testing

Example repository to demonstrate how you can run e2e tests in GitLab CI/CD on every pull request

Testing an AI chatbot like a product: RAG eval set, retrieval metrics, LLM-as-judge, prompt-injection and data-leak tests, CI quality gate.

LangChain.js e2e testing best practices in TypeScript: deterministic FakeChatModel tests, structured-output validation, and an eval harness

AI-assisted QA automation project that reads real SRS/BRS documents (TXT, PDF, DOCX), automatically generates baseline test cases, and analyzes bug data to identify defect patterns and risk-prone areas.

This project focuses on reducing manual QA effort while keeping human QA judgment and refinement in the loop.