Comment by lelanthran

> If you do use this approach, you will get code that is better than what most software devs put out. And that gives you a good base to work with if you need to add polish to it.

If you do use this approach, you'll find that it will descend into a recursive madness. Due to the way these models are trained, they are never going to look at the output of two other models and go "Yeah, this is fine as it is; don't change a thing".

Before you know it you're going to have change amplification, where a tiny change by one model triggers other models (or even itself) to make other changes, which triggers further changes, etc ad nauseum.

The easy part is getting the models to spit out working code. The hard part is getting it to stop.