Isn't context size one of the central motivations of the whole agent / orchestration business - fanning out increasingly detailed work to a tree of subagents.
Orchestrator vs worker, hierarchical multitier trees, etc.
I guess this smaller context but faster llm engine could be good to develop your harness on to get faster results and faster iteration.
I guess this smaller context but faster llm engine could be good to develop your harness on to get faster results and faster iteration.