The problem with looping is that any hallucination or incorrect assumption in an early loop becomes an amplifying garbage-in-garbage-out problem.
To translate your answer:
- “You’re not spending enough money”
- “You’re not micromanaging enough”
Seriously?
Now that's a textbook strawman argument. Well done.
That might work for hallucinations, that doesn't work for useless verbose. And the main issue is that LLM don't always distinguish useless verbose from necessary one, so even when I ask it to reduce verbose, it remove everything save a few useful comments/docstring, but some of the comments that were removed I deemed useful. Un the end I have to do the work of cutting verbose manually anyway.
I run a bunch of jobs weekly to review docs for inconsistencies and write a plan to fix. It still needs humans in the loop if the agents don’t converge after a few turns, but it’s largely automatic (I baby sat it for a few months validating each change).