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CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Universal Development Guidelines

Code Quality Standards

  • Write clean, readable, and maintainable code
  • Follow consistent naming conventions across the project
  • Use meaningful variable and function names
  • Keep functions focused and single-purpose
  • Add comments for complex logic and business rules

Git Workflow

  • Use descriptive commit messages following conventional commits format
  • Create feature branches for new development
  • Keep commits atomic and focused on single changes
  • Use pull requests for code review before merging
  • Maintain a clean commit history

Documentation

  • Keep README.md files up to date
  • Document public APIs and interfaces
  • Include usage examples for complex features
  • Maintain inline code documentation
  • Update documentation when making changes

Testing Approach

  • Write tests for new features and bug fixes
  • Maintain good test coverage
  • Use descriptive test names that explain the expected behavior
  • Organize tests logically by feature or module
  • Run tests before committing changes

Security Best Practices

  • Never commit sensitive information (API keys, passwords, tokens)
  • Use environment variables for configuration
  • Validate input data and sanitize outputs
  • Follow principle of least privilege
  • Keep dependencies updated

Project Structure Guidelines

File Organization

  • Group related files in logical directories
  • Use consistent file and folder naming conventions
  • Separate source code from configuration files
  • Keep build artifacts out of version control
  • Organize assets and resources appropriately

Configuration Management

  • Use configuration files for environment-specific settings
  • Centralize configuration in dedicated files
  • Use environment variables for sensitive or environment-specific data
  • Document configuration options and their purposes
  • Provide example configuration files

Development Workflow

Before Starting Work

  1. Pull latest changes from main branch
  2. Create a new feature branch
  3. Review existing code and architecture
  4. Plan the implementation approach

During Development

  1. Make incremental commits with clear messages
  2. Run tests frequently to catch issues early
  3. Follow established coding standards
  4. Update documentation as needed

Before Submitting

  1. Run full test suite
  2. Check code quality and formatting
  3. Update documentation if necessary
  4. Create clear pull request description

Common Patterns

Error Handling

  • Use appropriate error handling mechanisms for the language
  • Provide meaningful error messages
  • Log errors appropriately for debugging
  • Handle edge cases gracefully
  • Don't expose sensitive information in error messages

Performance Considerations

  • Profile code for performance bottlenecks
  • Optimize database queries and API calls
  • Use caching where appropriate
  • Consider memory usage and resource management
  • Monitor and measure performance metrics

Code Reusability

  • Extract common functionality into reusable modules
  • Use dependency injection for better testability
  • Create utility functions for repeated operations
  • Design interfaces for extensibility
  • Follow DRY (Don't Repeat Yourself) principle

Review Checklist

Before marking any task as complete:

  • Code follows established conventions
  • Tests are written and passing
  • Documentation is updated
  • Security considerations are addressed
  • Performance impact is considered
  • Code is reviewed for maintainability