Every single case of AI slop code I've encountered in a shipped product is a result of a complete lack of proper, professional workflow on the part of the human who decided to ship it. People are using AI as a reason to continue to justify their lack of responsibility for what it is they're doing.

And on the other side, I have seen AI produce exceptionally efficient, productive and effective code - the opposite of slop - when it is treated like a junior developer who will do any idiot thing, except when it is mentored by an actually experienced, professional developer.

The source of slop in AI code is not AI, its not the training data - its in the actual workflow of the human involved in its production.