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Context engineering

AI concepts

Designing what information the model sees each call—retrieval, history compression, file selection, tool outputs—often the real bottleneck behind “prompt quality.”

Context engineering recognizes that modern LLM quality is dominated by what is in the context window, not just how the prompt is phrased. Includes RAG, summarization of history, and careful file inclusion in coding agents.