Ask HN: Success stories for Multi-Agent GPT frameworks like MetaGPT, GPTEngineer

The projects mentioned in the title have garnedered an impressive amount of "stars" in Github. The concept is really compelling, but whenever I tried them on a real problem I ended up with a heap of very verbose information and a codebase that usually did not work out of the box. It usually felt easier to work on the problem step by step.

Are there some inspiring descriptions of success stories? How to best use these tools?