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The article describes an experiment comparing 11 large language models (including Fable and 10 others) on their ability to refactor a "god node"—an oversized, logic-heavy component in a LangGraph agent that violates good architectural practices. The researchers had the models propose refactoring solutions, evaluate each other's proposals, and then used three different ranking approaches to determine which models were best at generating and analyzing code reorganization strategies. The goal was to untangle hidden orchestration logic from a single node containing 350+ lines of code and elevate it to the graph level for better clarity and maintainability.
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