소개
Context Engineering is a specialized skill designed to help developers master the curation and maintenance of token sets during LLM inference. Unlike basic prompt engineering, this skill focuses on the discipline of managing what information enters the context window and when, effectively solving problems like context rot, high latency, and hallucinations in long-horizon tasks. It provides actionable patterns for context trimming, automated summarization, just-in-time tool loading, and sub-agent architectures, ensuring your AI agents maintain coherence and high performance across extended, complex interactions.
