code-audit

A systematic code audit identifies technical debt by running automated scans for linting, type checking, and dependency analysis, followed by a prioritization framework that scores findings based on impact and effort across quality, architecture, and maintainability categories.

The best way to audit code for security vulnerabilities and performance bottlenecks is to combine automated tools like npm audit and ESLint with manual review guidance, systematically categorizing findings to evaluate overall software health and maintainability.

Yes, you can use ESLint and TypeScript for automated code quality scans. The audit methodology executes specific automated scan commands using these tools alongside depcheck and complexity-report to identify issues across quality, security, and maintainability.

You prioritize code audit findings by applying a scoring system that ranks issues based on their impact and the effort required to fix them. This prioritization framework helps development teams address critical security vulnerabilities and performance bottlenecks efficiently.

Yes, a comprehensive code audit covers architecture and maintainability issues. The methodology systematically reviews codebases to identify and categorize technical debt across code quality, architecture, security vulnerabilities, performance bottlenecks, and maintainability aspects.