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title: A Seasoned Tester's Crystal Ball: Benchmarking results
description: A seasoned tester benchmarked different testing approaches on the same application: solo human testing found 62% of issues, human-with-AI collaboration found...
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# A Seasoned Tester's Crystal Ball: Benchmarking results

**[A Seasoned Tester's Crystal Ball](https://daily.dev/sources/visiblequality)** · 3 min read · 1 upvotes · 0 comments

## Summary

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.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://visible-quality.blogspot.com/2026/02/benchmarking-results-human-human-with.html>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#testing](https://daily.dev/tags/testing)

[View this post on daily.dev](https://daily.dev/posts/a-seasoned-tester-s-crystal-ball-benchmarking-results-yacno8tu3)

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