I feel like my current approach is a decent middle ground.

In the past, I wrote code by first writing English pseudo-code as a series of self-documenting comments. These would be declarative assertions of what the code will do. (For example, "Method returns true if array values are within 0.5% of spherical.") I then wrote the real code next to each comment.

My current workflow is mostly the same as before, but as soon as I think there's nothing creative left to do, I allow AI to take a pass at it, insisting it include verbose comments. Next I read everything; its comments are often redundant but allow me to internalise the logic/intent more quickly. I make any corrections myself. And I strip any pointless AI comments.

In short, I stay in full control of the architecture while tasking AI with the grunt work, the implementation details, and the superficial correctness.