Here’s my own stats, for comparison: https://www.hackerneue.com/item?id=46216192
Essentially migrating codebases, implementing features, as well as all of the referencing of existing code and writing tests and various automation scripts that are needed to ensure that the code changes are okay. Over 95% of those tokens are reads, since often there’s a need for a lot of consistency and iteration.
It works pretty well if you’re not limited by a tight budget.
https://github.com/nlothian/Vibe-Prolog chews a lot of tokens.
Have a bunch of other side projects as well as my day job.
It's pretty easy to get through lots of tokens.
Yesterday I asked Claude to write one function. I didn't ask it to do anything else because it wouldn't have been helpful.