Multi Agent Systems: Reading vs Writing

Key Takeaways

perspective I like on this is use multi- aent in cases where there's very clear and easy parallelization of tasks. Cognition in Walden Yen spoke on this quite a bit. He talks about this idea of kind of read versus write tasks. So for example, if each sub agent is writing some component of your final solution, that's much harder. They have to communicate like you're saying. Agent agent communication is still quite early. But with deep research, it's really only reading. They're just doing context collection. And you can do a write from all that share context after all the sub aents work. And I found this worked really well for deep research and actually anthropic report on this too. So their deep researcher just uses parallelized sub agents for research collation and they do the writing in one shot at the end. So this works great. So it's a very nuanced point that what you apply context isolation to in terms of the problem. Yeah. So you can see this is their work matters significantly. Coding may be much harder.