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Decomplect-py provides deep architectural insights into Python codebases by evaluating them against rigorous design standards like Rich Hickey’s simplicity principles and Gary Bernhardt’s Functional Core/Imperative Shell (FCIS) pattern. It helps developers disentangle complex logic, detect high coupling between modules, and identify Python-specific anti-patterns such as mutable default arguments or circular imports. Ideal for design reviews and pre-refactoring assessments, this skill ensures your Python architecture remains scalable, testable, and maintainable by identifying exactly where concerns have become 'complected'.
