Components Code Quality Core Requirements Coding Standards - DevClusterAI/DOD-definition GitHub Wiki
Coding Standards
Overview
This document defines the coding standards and requirements that all code must adhere to, ensuring consistency, readability, maintainability, and quality across our codebases.
General Principles
1. Readability
- Clear intent
- Self-documenting code
- Meaningful names
- Consistent formatting
- Appropriate comments
- Logical organization
- Intuitive structure
- Explicit over implicit
2. Maintainability
- Single responsibility
- Low coupling
- High cohesion
- Appropriate abstraction
- Consistent patterns
- Reasonable complexity
- Testable code
- Dependency management
3. Simplicity
- Avoid over-engineering
- Minimize complexity
- Clear logic flows
- Straightforward solutions
- Pragmatic approaches
- Minimum viable code
- Reduced cognitive load
- Maintainable simplicity
4. Consistency
- Uniform conventions
- Standard patterns
- Coherent approaches
- Predictable structures
- Aligned practices
- Unified naming
- Conventional idioms
- Team-wide alignment
Language-Specific Standards
1. Naming Conventions
- Variable naming
- Function/method naming
- Class/type naming
- Constant naming
- File naming
- Module/package naming
- Parameter naming
- Acronym handling
2. Code Organization
- File structure
- Class structure
- Function structure
- Import/include order
- Declaration order
- Access modifier ordering
- Standard grouping
- Logical separation
3. Formatting Standards
- Indentation
- Line length
- Line breaks
- White space usage
- Brace placement
- Parentheses usage
- Operator spacing
- Comment formatting
4. Language Idioms
- Language-specific patterns
- Preferred constructs
- Discouraged patterns
- Optimization guidelines
- Memory management
- Error handling
- Concurrency patterns
- Standard libraries
Code Documentation
1. In-code Documentation
- Method documentation
- Class documentation
- File headers
- Complex logic explanation
- Parameter documentation
- Return value documentation
- Exception documentation
- Public API documentation
2. Documentation Style
- Documentation format
- Markup usage
- Example inclusion
- Warning/note indicators
- Deprecation notices
- Version information
- Link references
- Generated documentation
3. Documentation Coverage
- Public API coverage
- Complex logic coverage
- Architecture documentation
- Usage examples
- Limitation documentation
- Edge case documentation
- Integration points
- Extension points
Implementation Practices
1. Error Handling
- Exception usage
- Error propagation
- Recovery mechanisms
- Failure logging
- User feedback
- Graceful degradation
- System state preservation
- Error boundary definition
2. Resource Management
- Memory management
- File handling
- Connection pooling
- Thread management
- Lock acquisition/release
- Transaction boundaries
- Resource cleanup
- Disposal patterns
3. Security Practices
- Input validation
- Output encoding
- Authentication handling
- Authorization enforcement
- Sensitive data management
- Secure communication
- Cryptography usage
- Security configuration
4. Performance Considerations
- Efficient algorithms
- Appropriate data structures
- Resource utilization
- Query optimization
- Lazy loading
- Caching strategies
- Batch processing
- Asynchronous operations
Tooling & Enforcement
1. Static Analysis
- Linting tools
- Code quality tools
- Complexity analyzers
- Style checkers
- Security analyzers
- Performance analyzers
- Custom rules
- Configuration standards
2. Automation
- Format enforcement
- Pre-commit hooks
- Continuous integration
- Automated reviews
- Documentation generation
- Dependency scanning
- Static analysis integration
- Policy enforcement
3. IDE Integration
- Editor configuration
- Code templates
- Snippet libraries
- Formatting profiles
- Inspection settings
- Quick-fix actions
- Live templates
- Extension recommendations
Compliance & Verification
1. Review Process
- Code review focus
- Standard checklists
- Automation tools
- Manual verification
- Quality gates
- Pair programming
- Mentoring practices
- Knowledge sharing
2. Exception Handling
- Deviation process
- Approval requirements
- Documentation needs
- Risk assessment
- Alternative solutions
- Legacy code considerations
- Third-party code
- Migration strategies
3. Continuous Improvement
- Standard evolution
- Feedback incorporation
- Tool enhancement
- Education updates
- Refinement process
- Metric tracking
- Success evaluation
- Community alignment