dead-code-eliminator

To find unused functions and variables in a Python project, you can run an AST-based code analysis tool that scans directories and generates markdown reports listing unused code with line numbers and severity ratings.

The best way to detect unreachable code blocks is to perform AST analysis on your Python source files, which identifies redundant logic and conditional statements that can never execute during runtime.

Yes, you can identify unused imports automatically by triggering a dead code scan that parses Python files and flags any imported modules or names that are not referenced elsewhere in the codebase.

Dead code analysis works effectively for cleaning up after a large refactoring effort by scanning the codebase to ensure no leftover redundant functions, methods, or variables remain, preventing future confusion.

AST analysis helps find redundant logic by parsing Python code into an abstract syntax tree, tracking function and variable usage across files, and identifying unreachable blocks and unnecessary statements.

A dead code report includes markdown documentation of unused code findings, complete with line numbers, severity ratings, and specific recommendations for removing or refactoring the flagged elements.