ast-code-analysis

Measure cyclomatic complexity in TypeScript code by analyzing functions to identify overly complicated logic. This process highlights areas needing refactoring, ensuring frontend architecture remains robust and maintainable as the project scales.

Visualize code dependencies for a React project by generating dependency graphs that map module relationships. This provides a clear understanding of project structure, helping developers trace imports and maintain architectural rules across the codebase.

Yes, this code analysis approach validates React hook dependency arrays to ensure correctness. It checks dependency arrays against React conventions, preventing stale closures and unexpected side effects in functional components during structural integrity checks.

Check for type safety issues like 'any' types and 'as' casting in TypeScript by running structural analysis that promotes minimization of unsafe patterns. This enforces adherence to architectural rules and TypeScript conventions for cleaner code.

Using madge and ts-complexity for code analysis limits scope to detecting circular references and measuring cyclomatic complexity. It focuses on structural integrity and quality issues, meaning it may not catch runtime logic errors or enforce styling conventions.