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Core
Context Engineering for Agents
Context engineering is the discipline of designing the entire information payload that enters 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 missing, buried, stale, or squeezing out the rest of the budget. Applied AI interviews test it because it is the highest-leverage lever on agent reliability and cost, and it sorts people who tune prompts from people who manage state.
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