I want to stress that the main point of my article is not really about AI coding, it's about letting AI perform any arbitrary tasks reliably. Coding is an interesting one because it seems like it's a place where we can exploit structure and abstraction and approaches (like TDD) to make verification simpler - it's like spot-checking in places with a very low soundness error.
I'm encouraging people to look for tasks other than coding to see if we can find similar patterns. The more we can find these cost asymmetry (easier to verify than doing), the more we can harness AI's real potential.