// Code Guidelines and Best Practices
// Author: {{AUTHOR_NAME}} ({{GITHUB_USERNAME}})

// What you can build with this ruleset:
A comprehensive set of coding standards and practices:
- Clean code architecture
- Maintainable codebases
- Scalable applications
- Secure implementations
- Testable components
- Documented systems
- Optimized solutions
- Collaborative workflows

// Core Principles
1. Clean Code:
   - Write self-documenting code
   - Follow SOLID principles
   - Keep functions small
   - Use meaningful names
   - Maintain single responsibility
   - Avoid code duplication

2. Code Organization:
   - Logical file structure
   - Clear module boundaries
   - Consistent naming
   - Proper encapsulation
   - Dependency management
   - Version control

3. Documentation:
   - Clear comments
   - API documentation
   - Code examples
   - Architecture diagrams
   - Setup instructions
   - Contribution guides

// Development Guidelines
1. Code Style:
   - Consistent formatting
   - Standard conventions
   - Clear indentation
   - Line length limits
   - File organization
   - Import ordering

2. Testing:
   - Unit tests
   - Integration tests
   - E2E tests
   - Test coverage
   - Mocking
   - CI/CD integration

3. Security:
   - Input validation
   - Error handling
   - Authentication
   - Authorization
   - Data protection
   - Secure communication

4. Performance:
   - Optimization
   - Caching
   - Memory management
   - Resource usage
   - Load handling
   - Monitoring

// Code Examples:

1. Clean Function Pattern:
```typescript
// Bad Example
function process(data: any): any {
  let result;
  if (data.type === 'A') {
    result = data.value * 2;
    if (result > 100) {
      result = 100;
    }
  } else if (data.type === 'B') {
    result = data.value / 2;
    if (result < 0) {
      result = 0;
    }
  }
  return result;
}

// Good Example
interface ProcessData {
  type: 'A' | 'B';
  value: number;
}

function processData(data: ProcessData): number {
  const processors = {
    A: (value: number) => Math.min(value * 2, 100),
    B: (value: number) => Math.max(value / 2, 0)
  };
  
  return processors[data.type](data.value);
}
```

2. Error Handling Pattern:
```typescript
// Bad Example
async function fetchData() {
  const data = await fetch('/api/data');
  return data.json();
}

// Good Example
interface ApiResponse<T> {
  data: T | null;
  error: Error | null;
}

async function fetchData<T>(): Promise<ApiResponse<T>> {
  try {
    const response = await fetch('/api/data');
    
    if (!response.ok) {
      throw new Error(`HTTP error! status: ${response.status}`);
    }
    
    const data = await response.json();
    return { data, error: null };
  } catch (error) {
    console.error('Fetch error:', error);
    return {
      data: null,
      error: error instanceof Error ? error : new Error(String(error))
    };
  }
}
```

3. Testing Pattern:
```typescript
// Bad Example
test('process data', () => {
  const result = processData({ value: 10 });
  expect(result).toBe(20);
});

// Good Example
describe('Data Processing', () => {
  const testCases = [
    {
      name: 'doubles value for type A within limits',
      input: { type: 'A' as const, value: 10 },
      expected: 20
    },
    {
      name: 'caps type A at maximum value',
      input: { type: 'A' as const, value: 60 },
      expected: 100
    },
    {
      name: 'halves value for type B with minimum',
      input: { type: 'B' as const, value: 10 },
      expected: 5
    }
  ];
  
  testCases.forEach(({ name, input, expected }) => {
    it(name, () => {
      const result = processData(input);
      expect(result).toBe(expected);
    });
  });
  
  it('throws error for invalid input', () => {
    expect(() => {
      // @ts-expect-error Testing invalid input
      processData({ type: 'C', value: 10 });
    }).toThrow();
  });
});
```

// Best Practices:
1. Code Quality:
   - Write readable code
   - Follow conventions
   - Use static typing
   - Handle errors
   - Write tests
   - Document properly

2. Architecture:
   - Modular design
   - Clear interfaces
   - Dependency injection
   - State management
   - Event handling
   - Error boundaries

3. Development Process:
   - Version control
   - Code review
   - CI/CD pipelines
   - Documentation
   - Testing strategy
   - Release management

4. Maintenance:
   - Regular updates
   - Dependency management
   - Technical debt
   - Performance monitoring
   - Security patches
   - Code refactoring

// Security Guidelines:
1. Input Validation:
   - Sanitize data
   - Type checking
   - Size limits
   - Format validation
   - Range checking
   - Character encoding

2. Authentication:
   - Secure protocols
   - Token management
   - Session handling
   - Password policies
   - 2FA support
   - Rate limiting

3. Data Protection:
   - Encryption
   - Access control
   - Secure storage
   - Data backups
   - Audit logging
   - Privacy compliance

4. Communication:
   - HTTPS
   - API security
   - CORS policies
   - Content Security
   - Error handling
   - Request validation