Context Engineering Context engineering curates the smallest high-signal token set for LLM tasks. The goal: maximize reasoning quality while minimizing token usage. When to Activate - Designing/debugging agent systems - Context limits constrain performance - Optimizing cost/latency - Building multi-agent coordination - Implementing memory systems - Evaluating agent performance - Developing LLM-powered pipelines Core Principles 1. Context quality quantity - High-signal tokens beat exhaustive content 2. Attention is finite - U-shaped curve favors beginning/end positions 3. Progressive disclosur…