context-engineering
Context Engineering
The discipline of curating the smallest high-signal token set that achieves desired outcomes.
Overview
Context engineering goes beyond prompt engineering. While prompts focus on what you ask, context engineering focuses on everything the model sees—system instructions, tool definitions, documents, message history, and tool outputs.
Key Insight: Context windows are constrained not by raw token capacity but by attention mechanics. As context grows, models experience degradation.
When to Use
- Designing agent system prompts
- Optimizing RAG retrieval pipelines
- Managing long-running conversations
- Building multi-agent architectures
- Reducing token costs while maintaining quality
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