Do you have specifics? It would be interesting to see what kind of improvements are possible.
I've written up my process here:
https://www.stavros.io/posts/how-i-write-software-with-llms/
The biggest thing to get right is to let the LLMs do what they're great at (code implementation from very detailed specs, and code review), and you do what humans are great (architecture and making sure the high level of the implementation is sane). That way, you get the best of both worlds, and a lot of speed at high quality.
No doubt AI boosters will claim we have found an O(1) productivity enhancer that is somehow two orders of magnitude better than anything else before. This is entering lunacy territory.
For example, I built this over a month or so and never hit a slowdown or quality issue: