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Core
Context Engineering for Agents
Context engineering is the discipline of designing the full information payload that goes into an agent's context window each turn: system instructions, memory, retrieved data, tool definitions and results, and conversation history. Most agent failures are context failures, where the right information is absent, buried, stale, or crowding out the rest of the budget. Applied AI interviews probe it because it is the highest-leverage lever on agent reliability and cost, and it separates people who tune prompts from people who manage state.
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