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Context Engineering for AI Agents: How to Architect LLMs
The definitive engineering guide to context engineering for autonomous AI agents. Lost in the middle curves, context rot, KV cache math, hybrid retrieval with RRF, contextual chunking, tiered working memory, tool state isolation, attention budgeting, and deterministic verification across modern agent stacks.
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