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"Production-grade" is a stretch. These AI coding tools can generate impressive prototypes, but there's still a massive gap between what they produce and code that's actually ready for production.

I don't understand the disconnect between engineers who work with these tools daily and the investor/exec/founder/influencer-types who constantly hype them. My LinkedIn feed has become a comedy.

I feel like any senior SWE who's tried to maintain an AI-generated codebase, coach a junior who's found themselves reliant on Cursor; or found themselves in an undo, yell, repeat cycle in Cline, knows they still require significant expertise to build production-safe code.

Where's the disconnect, or what am I missing?



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