Optimizing Context Engineering with Small Model Sub-Agents to Cut Costs
samsamy7 · reddit · 2026-08-25
The author proposes using small models (e.g., 3B or smaller) as 'sub-agents' for context engineering, replacing inefficient file searches or RAG vector database queries handled by main agents. These local, fast sub-agents would extract key data and pass it back, significantly reducing token usage and costs. The author asks if this approach is already widely used or if there are hidden downsides.
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