[ljm]

Composing multiple smaller agents allows you to build more complex pipelines, which is a lot easier than getting a single monolithic agent to switch between contexts for different tasks. I also get some insight into how the agent performs (e.g via langfuse) because it’s less of a black box.

To use an example: I could write an elaborate prompt to fetch requirements, browse a website, generate E2E test cases, and compile a report, and Claude could run it all to some degree of success. But I could also break it down into four specialised agents, with their own context windows, and make them good at their individual tasks.

[fennecbutt]

Plus I'd say that the smaller context or more specific context is the important thing there.

Even the biggest models seem to have attention problems if you've got a huge context. Even though they support these long contexts it's kinda like a puppy distracted by a dozen toys around the room rather than a human going through a checklist of things.

So I try to give the puppy just one toy at a time.

[singularity2001]

OK so instead of my current approach of doing a single task at a time (and forgetting to clear the context;) this will make it more feasible to run longer and more complex tasks I think I get it.