10× Faster Development with AI prototypes.
A prototype generated by a non-technical stakeholder can be very useful, but I do not treat it as an unfinished production system.
I treat it as an executable requirements draft.
The prototype gives stakeholders and domain experts something concrete to think of, build, analyze and react to, which makes product ideation and requirements elicitation much faster. Instead of discussing an abstract idea, they can directly build their ideas and visions into a prototype, actually designing the product without distracting business analytics or engineers.
The prototype code itself is a throwaway. It is usually written in a non-modular, code-and-fix style; it may lack meaningful error handling, fail to cover the use cases fully, or contain security flaws. Trying to clean it up directly can take longer than building the product correctly from the extracted requirements. But it already contains roughly formalized live product intentions, expressed by and aligned with non-technical stakeholders.
