This is the way. I use gh copilot and have opus interrogate me and write the plan, then gpt review the plan and provide feedback; repeat this multiple times until gpt is either satisfied or starts to nitpick on unimportant stuff. Then sanity check the plan myself and have gpt implement it.

Each implementation is also reviewed by me before merging to master. I complete PRs only when I'm satisfied with the implementation, my feedback is addressed, and I fully understand what is going on. Agents are the replacement for typing and productivity multipliers.

I have big picture view of the product, each plan implements only a part of it, scoped to avoid merging unreviwed slop. Probably slower, but result is much better.