In this whole discussion of what can be done with AI, I think a lot of people are missing the distinction between:

A. making consumer end-user apps, basic enterprise applications (making end products)

B. making tooling, libraries, languages (making things people build on top of)

What is the "software engineering" that AI will replace? A? Or both A and B?

Just because people can get away with using AI to make A apps that are "good enough" or pass test suites, does NOT meant that therefore people can get away with doing all software engineering with AI. B products require a whole other level of quality, stability, and extensibility.

I'm not saying doing A with AI is a good idea either, I just think that it's a fallacy to say that because you can do A with AI, you can do B.