Yes, I worry about this quite a bit. Obviously nobody knows yet how it will shake out, but what I've been noticing so far is that brand recognition is becoming more important. This is obviously not a good thing for startup yokels like me, but it does provide an opportunity for quality and brand building.

The initial creation and generation is indeed much easier now, but testing, identifying, and fixing bugs is still very much a process that takes some investment and effort, even when AI assisted. There is also considerable room for differentiation among user flows and the way people interact with the app. AI is not good at this yet, so the prompter needs to be able to identify and direct these efforts.

I've also noticed in some of my projects, even ones shipped into production in a professional environment, there are lots of hard to fix and mostly annoying bugs that just aren't worth it, or that take so much research and debugging effort that we eventually gave up and accepted the downsides. If you give the AI enough guidance to know what to hunt for, it is getting pretty good at finding these things. Often the suggested fix is a terrible idea, but The AI will usually tell you enough about what is wrong that you can use your existing software engineering skills and experience to figure out a good path forward. At that point you can either fix it yourself, or prompt the AI to do it. My success rate doing this is still only at about 50%, but that's half the bugs that we used to live with that we no longer do, which in my opinion has been a huge positive development.