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2025-11-30 08:37:55 +08:00

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allowed-tools: Read, Bash, Grep, Glob argument-hint: [file-path] | [commit-hash] | --full description: Comprehensive code quality review with security, performance, and architecture analysis

Code Quality Review

Perform comprehensive code quality review: $ARGUMENTS

Current State

  • Git status: !git status --porcelain
  • Recent changes: !git diff --stat HEAD~5
  • Repository info: !git log --oneline -5
  • Build status: !npm run build --dry-run 2>/dev/null || echo "No build script"

Task

Follow these steps to conduct a thorough code review:

  1. Repository Analysis

    • Examine the repository structure and identify the primary language/framework
    • Check for configuration files (package.json, requirements.txt, Cargo.toml, etc.)
    • Review README and documentation for context
  2. Code Quality Assessment

    • Scan for code smells, anti-patterns, and potential bugs
    • Check for consistent coding style and naming conventions
    • Identify unused imports, variables, or dead code
    • Review error handling and logging practices
  3. Security Review

    • Look for common security vulnerabilities (SQL injection, XSS, etc.)
    • Check for hardcoded secrets, API keys, or passwords
    • Review authentication and authorization logic
    • Examine input validation and sanitization
  4. Performance Analysis

    • Identify potential performance bottlenecks
    • Check for inefficient algorithms or database queries
    • Review memory usage patterns and potential leaks
    • Analyze bundle size and optimization opportunities
  5. Architecture & Design

    • Evaluate code organization and separation of concerns
    • Check for proper abstraction and modularity
    • Review dependency management and coupling
    • Assess scalability and maintainability
  6. Testing Coverage

    • Check existing test coverage and quality
    • Identify areas lacking proper testing
    • Review test structure and organization
    • Suggest additional test scenarios
  7. Documentation Review

    • Evaluate code comments and inline documentation
    • Check API documentation completeness
    • Review README and setup instructions
    • Identify areas needing better documentation
  8. Recommendations

    • Prioritize issues by severity (critical, high, medium, low)
    • Provide specific, actionable recommendations
    • Suggest tools and practices for improvement
    • Create a summary report with next steps

Remember to be constructive and provide specific examples with file paths and line numbers where applicable.