Mapping with In-Memory Layers to Reduce LLM Overload
THE SO WHAT
Treating LLM calls as just one layer in an in-memory composition stack—rather than the whole pipeline—pushes teams toward leaner, more deterministic architectures. If you're seeing prompt bloat and context-window thrash, this is a cue to refactor: move structure and state into code and data layers, and reserve the model for the irreducibly fuzzy pieces.
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