# Technical Standards Enforcement Task ## Purpose Enforce technical standards across all development activities to ensure consistency, maintainability, and quality. This task provides systematic validation of code against established technical standards and best practices. ## Integration with Memory System - **What patterns to search for**: Common standard violations, successful enforcement strategies, team compliance patterns, technical debt accumulation - **What outcomes to track**: Standards compliance rates, technical debt trends, code quality metrics, team adoption success - **What learnings to capture**: Effective enforcement approaches, standard evolution needs, team training requirements, automation opportunities ## Technical Standards Categories ### Code Standards ```yaml code_standards: naming_conventions: - classes: PascalCase - functions: camelCase - constants: UPPER_SNAKE_CASE - files: kebab-case structure: - max_file_length: 500 - max_function_length: 50 - max_cyclomatic_complexity: 10 - max_nesting_depth: 4 documentation: - functions: required_jsdoc - classes: required_comprehensive - complex_logic: inline_comments_required ``` ### Architecture Standards - [ ] **Pattern Compliance**: Repository, Service, Controller patterns - [ ] **Dependency Direction**: Clean architecture principles - [ ] **Module Boundaries**: Clear separation of concerns - [ ] **API Contracts**: Consistent interface design - [ ] **Error Handling**: Standardized error propagation ### Security Standards - [ ] **Authentication**: OAuth2/JWT implementation - [ ] **Authorization**: RBAC implementation - [ ] **Data Validation**: Input sanitization - [ ] **Encryption**: Data at rest and in transit - [ ] **Secrets Management**: No hardcoded credentials ### Performance Standards - [ ] **Response Times**: <200ms for API calls - [ ] **Query Optimization**: No N+1 queries - [ ] **Caching Strategy**: Redis for hot data - [ ] **Resource Limits**: Memory and CPU boundaries - [ ] **Async Operations**: For long-running tasks ## Enforcement Process ### Step 1: Automated Validation ```python def run_automated_checks(): checks = { "linting": run_eslint_prettier(), "type_checking": run_typescript_check(), "test_coverage": run_coverage_report(), "security_scan": run_security_audit(), "performance": run_lighthouse_audit() } return aggregate_results(checks) ``` ### Step 2: Manual Review Checklist - [ ] **Architecture Alignment**: Follows established patterns - [ ] **Code Clarity**: Self-documenting and readable - [ ] **Error Scenarios**: All edge cases handled - [ ] **Performance Impact**: No obvious bottlenecks - [ ] **Security Considerations**: No vulnerabilities introduced ### Step 3: Standards Violation Tracking ```markdown ## Violation Report **File**: {filepath} **Standard**: {violated_standard} **Severity**: {critical/high/medium/low} **Description**: {what_is_wrong} **Fix**: {how_to_fix} **Reference**: {link_to_standard} ``` ## Quality Gates ### Pre-Commit Gate - [ ] Local linting passes - [ ] Type checking passes - [ ] Unit tests pass - [ ] Commit message follows convention ### Pull Request Gate - [ ] All automated checks pass - [ ] Code coverage maintained - [ ] No security vulnerabilities - [ ] Performance benchmarks met - [ ] Documentation updated ### Pre-Deploy Gate - [ ] Integration tests pass - [ ] Security scan clean - [ ] Performance tests pass - [ ] Rollback plan documented ## Enforcement Strategies ### Progressive Enhancement 1. **Warning Phase**: Notify but don't block 2. **Soft Enforcement**: Block with override option 3. **Hard Enforcement**: Block without override 4. **Continuous Monitoring**: Track compliance trends ### Team Enablement ```python enablement_activities = { "training": ["standards workshop", "best practices session"], "documentation": ["standards wiki", "example repository"], "tooling": ["IDE plugins", "pre-commit hooks"], "mentoring": ["pair programming", "code review feedback"] } ``` ## Success Metrics - Standards compliance rate >95% - Technical debt ratio <5% - Code review cycle time <2 hours - Zero critical violations in production - Team satisfaction with standards >80% ## Memory Integration ```python # Standards enforcement memory enforcement_memory = { "type": "standards_enforcement", "enforcement_run": { "timestamp": run_timestamp, "scope": files_checked, "standards": standards_applied }, "violations": { "total": violation_count, "by_severity": severity_breakdown, "by_category": category_breakdown, "repeat_offenders": frequent_violations }, "trends": { "compliance_rate": current_compliance, "improvement": vs_last_period, "problem_areas": persistent_issues }, "actions": { "automated_fixes": auto_fix_count, "manual_fixes": manual_fix_count, "exemptions": exemption_grants }, "team_impact": { "productivity": velocity_impact, "satisfaction": developer_feedback } } ``` ## Enforcement Output Template ```markdown # Technical Standards Enforcement Report **Date**: {timestamp} **Scope**: {project/module} **Compliance**: {percentage}% ## Summary - **Files Scanned**: {count} - **Standards Checked**: {count} - **Violations Found**: {count} - **Auto-Fixed**: {count} ## Violations by Category | Category | Count | Severity | Trend | |----------|-------|----------|--------| | Code Style | {n} | {sev} | {trend} | | Architecture | {n} | {sev} | {trend} | | Security | {n} | {sev} | {trend} | | Performance | {n} | {sev} | {trend} | ## Critical Issues {list_of_critical_violations} ## Recommendations 1. **Immediate Actions**: {urgent_fixes} 2. **Training Needs**: {identified_gaps} 3. **Tool Improvements**: {automation_opportunities} 4. **Standard Updates**: {evolution_suggestions} ## Next Steps {action_plan_with_owners} ``` ## Brotherhood Collaboration - Standards review with architecture team - Enforcement strategy with tech leads - Training plan with team leads - Tool selection with DevOps team