AI coding assistants are great for MVPs and demos – shipping production code still belongs to experienced engineers
AI tools promise less boilerplate, fewer documentation detours, and faster iteration. In practice, they deliver – especially for MVPs, new feature prototypes, and personal projects. Beyond those use cases, however, the picture shifts: velocity may feel higher, but getting code production-ready often takes longer than expected.
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