LLM-generated code that seemingly went without much review or design is always such an interesting dive into just how bloated you can make code. Multiple files are close to 10K LOC, one file contains a switch statement that has so many case statements it spans more than 1000 lines.

I guess it depends on the model you're trying to use, but seems most of them prefer smaller codebases, they work a lot better with less code, which kind of makes sense. With that in mind, I'd probably aim for something way smaller to bootstrap a self-improving agent. Then I'd use this "Prime Agent" as an example to my self-improving agent for what it should not evolve to.