The ability to generate code is becoming widely available. That is useful, but it is not the same as taking responsibility for a product.
AI can respond to a prompt. Product engineering has to improve the question. It has to uncover the actual user problem, make trade-offs under constraints, and decide which parts deserve to exist at all.
The hidden work after the demo
A convincing prototype can hide unfinished responsibilities: permissions, data integrity, failure handling, security, observability, deployment, maintenance, and the behavior of the system when assumptions stop being true.
Those are not reasons to avoid AI. They are reasons to place it inside a disciplined engineering system.
The founder's highest-leverage work
Founders should remain close to product decisions. They should not have to become responsible for every implementation detail. Time spent rebuilding accidental architecture is time not spent speaking with customers, creating demand, and developing the business.
The studio uses AI to expand execution capacity while keeping product direction, architecture, review, and accountability explicitly human-led.