TLDR Tech / Dev
A Guide to Context Engineering for LLMs
Studies show that feeding more tokens into an LLM's context window negatively impacts performance, with one 2025 Chroma study showing that accuracy drops from 95% to 60% as input size grows. This challenge is addressed by “context engineering,” which strategically manages the model's input through four tactics: using external memory, selecting relevant information via RAG, compressing conversation history, and isolating concerns across multiple agents.
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