Shadow Models [Tool Demo] -- Incremental Transformations for MPS
summary
Shadow Models is an incremental model transformation engine for MPS that maintains a separate, realtime “shadow” AST derived from user edits and updates it from the editor-generated deltas on every action. It runs unidirectional incremental transformations (including fixed‑point rules) to map sugar like enums or decision tables to a core language, supports an incremental interpreter for immediate test feedback, and uses trace-based error lifting so analyses run on the shadow model produce mapped, customizable error messages on the original source.
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