@gwenshap: One quirk of AI generated code is excessive guard rails. Recently, I wanted to test a new API with a local stack. I ask…

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Summary

A developer shares an experience where OpenAI's Codex added an excessive guard rail by inserting a runtime extension existence check into an API, which a human engineer would never do.

One quirk of AI generated code is excessive guard rails. Recently, I wanted to test a new API with a local stack. I asked AI to test, and it built and ran our stack locally. It made a mistake and did not install an essential extension. So the test failed. Not only did Codex fix the build issue (good), it added a check to my API to test that the extension exists before calling it (insane). No human engineer would add such check to the API. At most, they would add a post-deploy check to CI/CD to make sure we didn't accidentally leave the extension out in prod. Validate that an extension exists in every API call? Only AI.
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Cached at: 05/27/26, 05:01 AM

One quirk of AI generated code is excessive guard rails.

Recently, I wanted to test a new API with a local stack. I asked AI to test, and it built and ran our stack locally. It made a mistake and did not install an essential extension. So the test failed.

Not only did Codex fix the build issue (good), it added a check to my API to test that the extension exists before calling it (insane).

No human engineer would add such check to the API. At most, they would add a post-deploy check to CI/CD to make sure we didn’t accidentally leave the extension out in prod.

Validate that an extension exists in every API call? Only AI.

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