/q/ - Q&A Central

the problem isnt the scale itself, its the communication overhead. once you hit a certain threshold of agents, the sheer volume of messages required to maintain consensus basically eats your entire compute budget. i tried running a swarm-based architecture for a data scraping project and it collapsed into an infinite loop of agents asking each other for permission . instead of trying to manage them all at once, you gotta move toward a hierarchical structure where small clusters handle local tasks and only report back to a supervisor. otherwise, youre just building a very expensive way to generate noise. are you using any specific pub/sub pattern for the messaging layer or is it all direct api calls?