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Context engineering is about carefully choosing what information to give an AI so it does the best possible job.
The practice of designing and optimizing the information provided to an AI model in its context window to maximize performance.
Context engineering encompasses prompt construction, context window management, retrieval strategies, memory systems, and information prioritization. It involves deciding what documents, instructions, examples, and state to include in the limited context window, and in what order, to optimize model behavior for the specific task.