design-smell-detector

To detect code smells in a Python codebase, use static analysis of Python Abstract Syntax Trees (AST) to identify patterns indicative of design flaws like God Classes, High Coupling, and Long Methods. This provides actionable refactoring suggestions to improve maintainability.

Common Python design smells include God Classes, High Coupling, Low Cohesion, Long Methods, and High Complexity. They are identified by analyzing Python codebases for coupling, cohesion, complexity, and size violations through AST static analysis.

Yes, you can integrate static analysis for refactoring opportunities into your CI pipeline to automatically flag Python code with critical design smells before merging. This enforces consistent code quality standards and reduces technical debt across your team.

Yes, the design smell detector works with Python codebases directly and requires no external dependencies. It uses Python Abstract Syntax Trees (AST) to perform static analysis and identify structural design flaws within your source directory.

The best way to find God Classes and high coupling in Python is by running static analysis focused on coupling, cohesion, complexity, and size violations. This identifies structural design flaws and provides specific recommendations for refactoring.