code-pattern-extractor

Code clone detection identifies duplicated blocks by analyzing tokenized and normalized AST nodes for structural similarity. It finds recurring patterns and proposes refactoring by extracting common code into reusable functions to reduce redundancy.

Code smells are recurring mistakes or problematic structures within a project. You can find anti-patterns by analyzing n-gram frequency and structural similarity in AST nodes to highlight areas needing correction.

Extracting coding idioms recognizes common, intentional coding styles used by a team. By analyzing structural patterns and n-gram frequency in AST nodes, you can quickly grasp coding conventions during project onboarding.

Code pattern analysis works without external dependencies. It relies solely on internal references to tokenize and normalize AST nodes, detecting structural similarity for idiom and anti-pattern discovery directly within your environment.

Identifying recurring structural patterns involves categorizing them as idioms, clones, or anti-patterns. It analyzes tokenized and normalized AST nodes to detect structural similarity and n-gram frequency for comprehensive pattern discovery.