unused-code-cleaner

Dead code removal is handled by performing static code analysis to build dependency graphs and identify unused imports, functions, and classes across Python, JavaScript, and Java. It then executes incremental removal with safety checks and validation.

Static code analysis for dead code identifies unused elements like imports and classes without executing the program. You should run it proactively after refactoring, feature removal, or before production deployment to ensure code hygiene and reduce bloat.

Yes, it safely removes unused functions by implementing validation and backup procedures before deletion. It builds dependency graphs and executes incremental removal with safety checks to ensure project integrity is maintained.

Yes, this static analysis tool works for finding unused imports across multiple programming languages. It specifically supports Python, JavaScript, and Java by analyzing abstract syntax trees and module dependencies to locate dead code.

The best way to clean up unused classes and functions after refactoring is to run a static analysis skill that builds dependency graphs to automatically find and safely remove dead code elements that are no longer called.

Automated dead code removal through static analysis relies on AST and module analysis to build dependency graphs. While it includes safety checks and validation before incremental deletion, dynamic calls or reflection might not be detected by static analysis alone.