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# Your AI Agent Says “Done.” But Did It Actually Work?

**[Sina Rezaei](https://daily.dev/sources/sm3o9wzwqzhzlr6lsyoyg)** · [@sinarezaei](https://daily.dev/sinarezaei) · 0 upvotes · 0 comments

## Content

I think the tricky part with AI coding agents isn't getting them to write code. It's knowing whether the result is actually correct.

Take a Node.js API that an agent is supposed to fix. The endpoint returns `200 OK`, the tests pass, and the agent reports success. But what if the test uses a mocked database, the real query still fails under concurrent requests, or the test suite ran before the final code change?

Technically, you have a green checkmark. Operationally, you might still have a broken service.

I'd rather see an agent show exactly what it verified: which tests ran, their actual output, which files changed, and whether the checks were performed against the final version of the code.

For production changes, I'd also want CI to verify the resulting commit independently, instead of relying entirely on the agent's own report.

The interesting part is that verification doesn't have to mean testing everything manually. It means deciding which evidence is enough for a particular change.

**A successful command, a passing test, and a working system aren't always the same thing.**

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