---
title: "Code Standards"
canonical: "https://alto-intranet.refined.com/space/DDI/2916512/Code%20Standards"
format: markdown
---
## Naming Conventions:

- Use descriptive and meaningful names for variables, functions, and classes.
- Follow camelCase for variable and function names (e.g., `sensorData`, `calculatePath()`).
- Use PascalCase for class names (e.g., `PerceptionModule`, `LocalizationSystem`).
- Avoid single-letter variable names except for loop counters or well-known conventions (e.g., `i`, `j`).

## Indentation and Formatting:

- Use a consistent indentation of **4 spaces**.
- Encourage clear and concise code with proper line breaks and white spaces.
- Limit line length to **80-100** characters to ensure code readability.

## Comments:

- Include comments to explain complex logic or algorithms.
- Add comments to clarify the purpose of classes, functions, and important code blocks.
- Avoid unnecessary comments that only restate obvious code.

## Error Handling:

- Use proper error handling mechanisms, like exceptions or error codes, to handle unexpected situations.
- Log errors with relevant context information to aid debugging and diagnostics.

## Modularity and Reusability:

- Encourage writing modular and reusable code.
- Design classes and functions with a single responsibility.
- Avoid duplication of code; prefer writing utility functions or libraries.

## Code Reviews:

- Conduct regular code reviews to maintain code quality and adherence to the coding standards.
- Encourage constructive feedback and discussions during code reviews.

## Version Control:

- Utilize version control systems (e.g., Git) for code collaboration and tracking changes.
- Follow a branching strategy to manage code changes effectively.

## Unit Testing:

- Encourage writing unit tests for critical components and algorithms.
- Aim for high test coverage to catch potential bugs early in development.

## Security Considerations:

- Follow secure coding practices to prevent common vulnerabilities, such as SQL injection or cross-site scripting.
- Sanitize user inputs and validate data to avoid security breaches.

## Documentation:

- Maintain up-to-date and comprehensive documentation for code and APIs.
- Provide usage examples and explanations of complex algorithms or functions.

## Performance Optimization:

- Optimize code for performance when necessary, but prioritize readability and maintainability.
- Use profiling tools to identify performance bottlenecks before applying optimizations.