ln-623-code-principles-auditor

To detect DRY violations and code duplication, scan the codebase to identify 10 types of repeated code, ranging from identical functions to repeated validation logic. The audit provides structured findings with severity, location, and refactoring recommendations.

Auditing code for KISS and YAGNI anti-patterns involves flagging overly complex abstractions and premature features. This process identifies excessive complexity and unnecessary features, providing structured findings to improve code maintainability.

Yes, you can automate code quality checks for error handling in a CI/CD pipeline. The audit checks for missing error handling, promotes centralized error management, and automatically flags potential code smells before code is merged.

A code audit identifies dependency injection issues by analyzing the codebase for adherence to software design principles alongside error handling patterns. It detects anti-patterns and provides structured findings with severity and refactoring recommendations.

Scanning a codebase for code smells utilizes Grep, Glob, and Bash tools for codebase scanning and analysis. These tools identify repeated code, excessive complexity, and anti-patterns, providing structured findings with location and refactoring recommendations.