Solves the "context problem" in multi-agent workflows where subagents don't know what context they need until they start working. - Spawning subagents that need codebase context they cannot predict upfront - Building multi-agent workflows where context is progressively refined - Encountering "context too large" or "missing context" failures in agent tasks - Designing RAG-like retrieval pipelines for code exploration - Optimizing token usage in agent orchestration