code-refactoring-advisor

To detect code smells and reduce Python complexity, you can analyze your source code statically to identify anti-patterns like God functions and deep nesting, then apply targeted refactoring recommendations to improve maintainability.

Yes, static analysis can identify Solidity reentrancy concerns and anti-patterns without executing code. It scans the source text to detect security smells and outputs structured results detailing suggested improvements for your smart contracts.

The best way to prioritize refactoring across a large codebase is to analyze cyclomatic complexity and maintainability metrics. This identifies the most critical code smells and generates a prioritized plan with concrete before and after examples.

To preserve behavior during a code refactor, generate test strategies and templates alongside your refactoring plan. This ensures your Python or Solidity modules maintain their original logic by validating static analysis improvements against expected outputs.

Yes, this static analysis approach works with codebases of varying sizes, from single modules to enterprise-scale repositories. It identifies smells and tracks maintainability without requiring code execution or specific runtime environments.