LLM applications often fail because the model gets the wrong information in the wrong form at the wrong time. That's a context problem, and it can't be solved with a prompt. Hands-On Context Engineering helps you design an inspectable, debuggable, and reliable context system that uses techniques like prompting, RAG, and agents to manage and deliver the right context to the model exactly when it needs it.
AI Reading Assistant
Whole-book reading guide from stratified index samples; jump to passages in the text
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