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title: Testing Isn&#x27;t Enough for AI-Generated Code | daily.dev
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# Testing Isn't Enough for AI-Generated Code

**[Aviator Blog](https://daily.dev/sources/aviator-blog)** · 8 min read · 0 upvotes · 0 comments

## Summary

AI-generated code can pass all tests while still implementing the wrong feature — because tests verify behavior, not intent. When an LLM agent fills gaps in a prompt with plausible guesses and then writes tests for its own output, the result is green CI with wrong functionality. The solution is a separate verification layer that checks implementation against a human-approved spec with explicit acceptance criteria. Aviator's experiment showed a verification agent checking 65 acceptance criteria in 6 minutes, catching 4 intent mismatches that no test would have flagged. The proposed workflow separates concerns: humans own spec approval, tests own behavior, and automated verification owns agreement between implementation and spec on every revision.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.aviator.co/blog/verification-is-not-testing-understanding-the-difference-could-save-your-codebase>

---

Tags: [#testing](https://daily.dev/tags/testing), [#cicd](https://daily.dev/tags/cicd), [#ai-coding](https://daily.dev/tags/ai-coding), [#spec-driven-development](https://daily.dev/tags/spec-driven-development)

[View this post on daily.dev](https://daily.dev/posts/testing-isn-t-enough-for-ai-generated-code-gxxyu4lyn)

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