「AI 氛圍編碼」是否讓真實企業的原型開發變得更糟？

But when I talk to people inside real organizations (healthcare, regulated industries, even large non-tech companies), I keep seeing the opposite:

There’s no shortage of ideas. There’s a constant backlog of things people want to test — new workflows, internal tools, patient-facing flows, decision support UIs.

The bottleneck isn’t creativity. It’s:
– internal IT teams focused on maintenance
– engineers already overloaded
– AI tools that still require time, context, and ownership
– agencies/freelancers that are too slow or heavyweight for “just a prototype”

My hot take: AI didn’t eliminate the prototyping problem — it shifted it to the people who have the least time to deal with it.

Curious how this matches your experience:
– Do you actually prototype continuously, or is it mostly one-off?
– Have AI tools fully replaced the need for external help for you?
– If you could get realistic prototypes in days (not months), how often would you use that?

Genuinely trying to understand whether I’m seeing a real pattern — or just a biased slice of the world.