I do not trust an AI-generated MVP when it first looks good. I trust it only after I can score...
Developer establishes 5-point validation framework (user flow, data model, handoffs, edge cases, scope cuts) to distinguish AI-generated MVPs before team commitment. Early prototype scoring prevents sprint waste by identifying and eliminating ~25% redundant scope, protecting runway.
I do not trust an AI-generated MVP when it first looks good.
I trust it only after I can score it.
That is the point where I stop writing bigger prompts and start running a small review loop against the output. Lately I have been doing that with NxCode because it gets me from a rough product idea to a reviewable app structure quickly enough to make the scoring pass worth doing.
The scoring loop
I use 5 checks before I let a prototype become engineering work.
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Cuando un MVP generado con IA se ve ordenado, la tentacion es convertirlo enseguida en backlog. Yo...
