context-engineering

Guides the design and optimization of AI agent context handling to improve reasoning quality while reducing token usage.

When to use it

Use when designing or debugging agent systems, addressing context limits, optimizing cost or latency, building coordination or memory systems, evaluating agents, or developing LLM pipelines.

It changes how the agent designs and optimizes context handling in AI agent systems through context placement, compaction, isolation, and evaluation guidelines.