Synthèse
Implementing this stack requires a profound psychological shift. Engineers are trained to treat code as permanent infrastructure, polishing and refactoring it until it’s pristine. But Benji’s core enterprise AI philosophy here is simple: Embrace throw-away code. Google AI Studio prototypes are meant to be messy with some technical debt; their objective is to validate product-market fit using quantitative data. Trying to refactor a chaotic, AI-generated app into an enterprise codebase is an archi
Implementing this stack requires a profound psychological shift. Engineers are trained to treat code as permanent infrastructure, polishing and refactoring it until it’s pristine. But Benji’s core enterprise AI philosophy here is simple: Embrace throw-away code. Google AI Studio prototypes are meant to be messy with some technical debt; their objective is to validate product-market fit using quantitative data. Trying to refactor a chaotic, AI-generated app into an enterprise codebase is an architectural trap that can create friction.