cavecrew

To prevent context exhaustion during long AI coding sessions, delegate tasks to specialized subagents that return highly compressed, structured output, reducing tool-result injection size by approximately 60% compared to standard agents.

The best way to manage context usage when refactoring code across multiple files is delegating work to specialized subagents. Use an investigator to locate symbols, a builder for surgical file editing, and a reviewer to audit the diff.

Compressed subagents optimize token consumption for code review by replacing verbose prose-based agents with concise, context-aware alternatives. They enforce structured output contracts to audit diffs efficiently while keeping the main conversation lean.

Yes, you can use specialized subagents for surgical file editing. They provide a decision framework that applies precise changes to files while maintaining minimal context overhead within your main conversation.

Delegating tasks to subagents reduces context bloat because standard agents inject large, verbose tool results into the conversation. Subagents use structured, compressed output contracts to return only essential information.