Functional doesn't mean correct. That's the biggest risk with AI-generated code.
The biggest risk with AI-generated code is that it can be functional but incorrect, solving the wrong problem silently without throwing errors or failing tests. This can happen because AI skips the engagement with the requirement that human writers have, which can lead to misunderstandings and incorrect interpretations. The output of AI-generated code may look right but be wrong because the intent behind the code was never verified.
- ▪AI-generated code can be functional but incorrect, solving the wrong problem silently.
- ▪The code may look clean and pass every automated check, but still be doing the wrong thing confidently.
- ▪Human writers are more likely to catch misunderstandings and incorrect interpretations because they engage with the requirement directly.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3723233) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Dimitris Kyrkos Posted on Jun 26 Functional doesn't mean correct. That's the biggest risk with AI-generated code. #ai #discuss #programming #webdev The code runs. That's not the question. There's a failure mode with AI-generated code that's harder to catch than bugs, security holes, or performance problems. The code works. The interface looks right. The tests pass. And the system quietly solves the wrong problem. This is different from broken code. Broken code announces itself.
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