I've given Aider and Mentat a go multiple times and for existing projects I've found those tools to easily make a mess of my code base (especially larger projects). Checkpoints aren't so useful if you have to keep rolling back and re-prompting, especially once it starts making massive (slow token output) changes. I'm always using `gpt-4` so I feel like there will need to be an upgrade to the model capabilities before it can be reliably useful. I have tried Bloop, Copilot, Cody, and Cursor (w/ a preference towards the latter two), but inevitably, I end up with a chat window open a fair amount - while I know things will get better, I also find that LLM code generation for me is currently most useful on very specific bounded tasks, and that the pain of giving `gpt-4` free-reign on my codebase is in practice, worse atm.