The "junior dev" analogy is the one I keep coming back to, but the part people miss is the review surface area problem.

When a human junior writes code, they leave breadcrumbs of their thinking — commit messages, PR descriptions, comments explaining why they chose approach A over B. You can reconstruct their reasoning from the artifact trail.

Agents don't do this naturally. You get a diff with no context for why it went that direction. So the reviewer has to reverse-engineer the thinking from the code alone, which is actually harder than reviewing human code because there are no "tells" — no familiar coding style, no consistent patterns that hint at the developer's mental model.

The semi-auto approach mentioned upthread works precisely because it solves this: you were there for every decision, so there's nothing to reconstruct. The productivity loss from staying in the loop is offset by the time you save not having to audit opaque changes after the fact.