I've been more or less doing this on a personal project. It's fun and interesting. No matter what techniques I use though, the code produced by the LLM is rarely what I would consider good engineering. It's frequently good code in isolation though.

Where it does help is when I'm too tired to start figuring out a problem. It's easier to prompt in natural language and get the agent to ask lots of clarifying questions than it is to get stuck in code in the evening after I have worked all day and have lots of other things in my mind.

Every time I actually crack the code open though, it's almost impossible to figure out certain parts of it. Abstractions are all over the place and leakages are the norm, there's no theory of the system because the LLM doesn't theorise, and as soon as the first anti-pattern slips through, subsequent agents pick up on it and amplify it into a set pattern.