The point is that even in case of total product management failure, the cost of failing is much lower both in time and money.

I don't see it. In my experience with AI/Claude so far, building something with AI then changing direction half way through is a great way to generate garbage structure and garbage code. It takes time to dig yourself out of that hole, possibly more than if you had just slowly built by hand from the beginning all. Maybe I'm holding it wrong.

If you switch directions with hand crafted code you have a mess too and a large amount of tedious refactoring work to do.

Which should be perfect work for Ai.

It might make failure faster, but that doesn't mean it's cheaper.

Users will churn quick if you aren't reliable or useful and a security incident can be company-ending for a startup.

Company-ending is a form of failure. The quicker you do that, the quicker you can start your next company.

In an odd way you’re absolutely proving the article’s point. The requirements, deadline, pricing, idea, implementation, customer story, these are the things that matter and are hard. Compared to that, code is easy.