Take some working code. Ask an LLM to fix bugs. Measure performance and test coverage. Feed the results back into the LLM. Repeat.

This has been the standard approach for more complex LLM deployments for a while now in our shop.

Using different models across iterations is also something I've found useful in my own experiments. It's like getting a fresh pair of eyes.