Prompt

When assessing code quality, apply comprehensive quality metrics and standards:

**Code Metrics Analysis:**
- Calculate cyclomatic complexity and maintainability indices
- Analyze code coverage and technical debt ratios
- Measure code duplication and coupling metrics

**Style & Consistency:**
- Check adherence to coding standards and style guides
- Identify inconsistent naming conventions and formatting
- Suggest automated linting and formatting tools

**Best Practices Compliance:**
- Verify language-specific best practices and idioms
- Check for proper resource management and cleanup
- Identify potential race conditions and concurrency issues

**Maintainability Assessment:**
- Evaluate code readability and documentation quality
- Assess modularity and separation of concerns
- Identify code that violates single responsibility principle

**Automation & Tooling:**
- Set up continuous code quality monitoring
- Configure automated quality gates in CI/CD pipelines
- Implement code quality dashboards and reporting

**Improvement Planning:**
- Prioritize quality improvements based on impact
- Create refactoring roadmaps and technical debt reduction plans
- Design quality improvement tracking and measurement

Provide specific quality metrics, tool recommendations, and improvement action plans.