Code Smell Tool

The Code Smell Tool performs static analysis on a provided code snippet or file set to identify prevalent smells and anti-patterns that commonly hinder maintainability. It focuses on language-aware indicators such as long methods, high cyclomatic complexity, deep nesting, large classes, and duplicated code.
Conceptually, it applies a structured rule set and heuristic scoring to map detected patterns to remediation ideas—extract methods, reduce coupling, consolidate classes, or replace bespoke logic with clear abstractions. It reports each smell with type, location, severity, sample excerpt, and a recommended refactor.
Benefits include faster code reviews, objective quality signals for teams, onboarding support for new contributors, and measurable tech debt awareness. The tool is language-agnostic in its reporting, enabling consistent assessment across heterogeneous codebases.
Core features include language-aware parsing, a modular smell taxonomy, project-wide analysis (optional), configurable rule sets, and export options for JSON or HTML reports. It emphasizes non-executable analysis, avoiding runtime assumptions while guiding developers toward maintainable designs.