There's a funny thing about AI-generated code...
AI is remarkably good at producing a convincing proof of concept.
But as you add features and make adjustments, something interesting happens.
The codebase grows bloated, the architecture becomes convoluted, and the application…
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Well, at least AI also makes it easier to throw that away and re-implement. But it's on you to provide proper guidance.
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True. But then, how well do you understand the code you are deploying should an issue arise?