I recently did a lower tech "write an async divide and conquer S3 lister in Python" and the results were fairly lackluster.

Opus 5.5 and GLM 5.3 Flash came out with pretty reasonable code that was fairly fast. However, all the models left aioboto defaults which have a 10 connection pool size so they ended up all artificially capped even though they added semaphores with higher limits.

My attempt I spent a couple hours AI assisted on ended up being faster, using less CPU time, and having roughly half the code.