Prompt engineering is too small for production agents. Context engineering is the discipline of deciding what the agent should see, when it should see it, and what must stay out.
Too many teams reach for retrieval before they understand the real problem. This practitioner-focused guide explains when an AI agent should search, when it should rely on memory, and when it should stop and ask a clarifying question instead.
A practical playbook for keeping agent knowledge current with source SLAs, expiration rules, and retrieval pipelines that age gracefully.
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