A major reason slop exists is because they are not "better" at coding, given some subjective criteria. They are notably worse at documentation and somewhat poor at choosing abstractions in my experience. For the most part, I witness the tools copying other examples out of the working repository, which makes them exactly as bad as the humans who originally wrote the code.

> will always code at a lower level with the time passes

For humans, this is traditionally an anti-pattern. We are good at intuiting abstractions and knowing when to use them or climb up and down the abstraction hierarchy. For LLMs, this is also an anti-pattern, because going lower-level is an exponential waste of tokens; both for writing and reading the resulting code, which they do constantly in order to understand the project again and again in order to fulfill your prompts.

Thinking of human review as a "bottleneck" is incorrect framing. We are quality control. You can choose to cede quality control to LLMs and agent harnesses, that's up to you. In my experience this generally leads to a meteoric rise in slop, because the tools increasingly resort to writing more code to solve a problem instead of updating existing code or writing the correct code. When I shake my head at some slop code, then read the slop comment that uses some slop justification that isn't real and only existed in the prompt context, I am happy that I took the time to review it. Maybe that makes me a bottleneck, oh well.