code-quality

To perform a code quality audit, run the skill on your project directory to execute static analysis, architectural checks, and performance profiling. This comprehensive code audit identifies architectural issues, performance bottlenecks, and simplicity concerns to help build reliable software.

Static analysis in an architecture review checks for SOLID principles compliance, circular dependencies, and layer boundaries. It validates pattern consistency, ensures design patterns are used correctly, and identifies anti-patterns within the codebase.

Yes, you can use this code audit tool for both frontend and backend codebases. It requires knowledge of code structure, design patterns, and software quality metrics to effectively analyze diverse project architectures and identify improvement areas.

To identify performance bottlenecks and N+1 queries, run a performance analysis on your codebase. This process profiles Big O complexities and scalability issues, highlighting inefficient database interactions and execution bottlenecks for optimization.

The best way to check SOLID principles compliance is through an architectural analysis audit. This evaluates your codebase against established design patterns, detects circular dependencies, and flags anti-patterns to ensure robust software architecture.

You need a simplicity audit after a major feature implementation or refactoring to ensure code is not overly complex. It verifies adherence to YAGNI principles, avoids redundancy, and maintains high code quality and maintainability standards.