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AI agents often struggle with memory limitations, causing errors, inconsistent outputs, and overlooked details. Context Engineering addresses this challenge by defining what AI should remember, how it retrieves information, and how it manages context efficiently.

Part 1 of this Context Engineering series explains why AI forgets, the four common failure modes, and practical strategies, WRITE and SELECT, for structuring, storing, and retrieving information. These approaches ensure reliable reasoning, accurate outputs, and scalable performance across complex, multi-step AI tasks.