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the gap between "the AI built it" and "it survived real users" is where all our bugs live
been thinking about this a lot lately building ai features for clients. the demo always works. the model generates the code, the endpoint responds, the happy path looks clean. that's maybe 80% of the actual job done in 20% of the time. the other 20% - the input validation, the retry logic when the model hallucinates a field, the auth edge case, the thing that breaks when 200 people hit it at once - that's where most of the real engineering time goes. nobody puts that in a demo video. i run...
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