find-dead-code

You can find dead code in a Python backend by running static analysis to detect methods with zero production callers, test-only references, and files with 0% coverage. This process identifies unused functions for safe removal.

The best way to detect unused Python functions is combining Vulture static analysis with coverage-based detection. This identifies high-confidence dead code and highlights methods executed only by tests but absent from production logic.

Dead code detection works with pytest coverage data by utilizing pytest-cov to find files with 0% coverage. This coverage-based detection pinpoints completely untested modules, signaling they may be unused dead code.

You need Python and Vulture installed to automate Python code cleanup using this approach. Vulture performs the static analysis required to find dead code with high confidence alongside method-level and coverage-based detection.

To ensure tests remain clean after removing dead code, the process includes a test cleanup and quality gate. This verifies that your test suite stays functional and validates code quality immediately after unused functions are deleted.

A limitation of static analysis for dead code detection is that it may miss dynamically called code. Relying solely on Vulture can produce false positives, which is why combining it with coverage-based detection ensures higher accuracy.