engineering-scorer

To score code quality, run a static analysis evaluation across your TypeScript codebase to generate an engineering scorecard. This assesses Code Organization, Error Handling, Testing Strategy, and other dimensions to produce standardized per-dimension scores.

An engineering scorecard is a structured report evaluating maintainability and engineering practices across multiple quality dimensions. You need it during design reviews, pre-release checks, and CI pipelines to ensure standardized quality gates.

Yes, you can integrate this code quality scorer into CI/CD pipelines as an automated quality gate. It evaluates Git and CI/CD practices alongside code maintainability to output a composite score suitable for blocking or approving releases.

Yes, the engineering scorecard explicitly evaluates both Security Practices and Performance as distinct dimensions. It scores these alongside DRY/Duplication and TypeScript quality to provide a comprehensive view of codebase health.

The best way to assess code maintainability before a release is to run a cross-dimensional static analysis covering Code Organization, Error Handling, and Testing Strategy. This generates a composite scorecard highlighting engineering practice gaps.

Static analysis for engineering scoring focuses on structural code quality and CI practices, meaning it evaluates the codebase as-is. It scores dimensions like DRY and TypeScript quality but does not assess runtime behavior or dynamic execution paths.