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> We have seen many projects that adopted AI under corporate pressure circle the drain.

Which?

> Often the corporations themselves backpedaled after some months.

Which

> There are humans who make very few mistakes

Mmm there are humans who think they make very few mistakes. Ones who actually make few mistakes, not sure about that one. Could be a mistake that they catch themselves very quickly, but I just don’t think humans are very good at generating 100% reliable output on the first try anywhere close to most of the time.

Why can’t your two criteria be applied to projects with human contributors without further due diligence?

Claude can produce code that is professionally reviewed and found to be correct.