The "dogfooding" framing is interesting. The argument isn't really about code quality per se — it's about whether you're in a position to critically evaluate the output at all.

A seasoned engineer using AI-assisted coding while maintaining judgment is genuinely different from someone using it as a substitute for judgment. The problem is the tools don't distinguish between these two users, and the marketing tends to speak to the latter group.