A seasoned tester benchmarked different testing approaches on the same application: solo human testing found 62% of issues, human-with-AI collaboration found 100%, AI-with-human-prompting found 55%, pure AI found 5%, and 57 average human testers found 18%. The experiment used GitHub Copilot with Claude Opus 4.5 and Playwright, demonstrating that AI augmentation significantly improves testing effectiveness when properly guided, but AI alone performs poorly.
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