How AI Can Help Reduce Bias in Code Reviews

Updated on April 21, 2025

Code Reviews
Richard Baldwin Cloved by Richard Baldwin and ChatGPT 4o
How AI Can Help Reduce Bias in Code Reviews

Bias in code reviews is a subtle yet significant issue that can impact a developer’s productivity, morale, and the quality of code. The Cloving CLI tool, with its AI-powered features, presents a unique opportunity to mitigate bias in code reviews. By using Cloving CLI, you can ensure a fair, consistent, and objective code review process. Let’s explore how to harness the power of AI to reduce bias in code reviews with practical examples and best practices.

Understanding Cloving CLI for Code Reviews

Cloving CLI is an AI-powered command-line tool that acts as an AI pair-programmer. It can assist you by generating AI-driven code reviews that are objective and focus purely on technical merits, minimizing the risk of bias.

1. Setting Up Cloving CLI

Before using Cloving CLI to enhance your code reviews, make sure it’s installed and configured correctly:

Installation:
Install Cloving globally using npm:

npm install -g cloving@latest

Configuration:
Set up your API key and select the models you wish to use:

cloving config

Follow the prompts to input your API key and choose the preferred AI model for code review.

2. Initiating a Code Review with Cloving

Once configured, you can start the code review process by initializing Cloving in your project directory:

cloving init

This step prepares the Cloving CLI to better understand your project context.

3. Generating an AI-Powered Code Review

To create an AI-powered code review, Cloving offers the generate review command. Here’s how you use it:

cloving generate review

By running this command in your project directory or specifying particular files, you can receive an objective code review focused on improving code quality without personal biases.

Example:
Suppose you have made changes to app.js and want an AI review:

cloving generate review -f src/app.js

This command analyzes the file for technical improvements, coding best practices, and potential bugs while excluding subjective human biases.

4. Interpreting the AI Code Review

The output from Cloving’s AI-generated review provides comprehensive feedback:

# Code Review: Optimizing Asynchronous Patterns and Error Handling

## Highlights and Recommendations

### Variable and Function Naming
- Ensure variable and function names are descriptive (e.g., “data” can be more specific as “userData”).

### Error Handling
- Add error handling for the fetch API call in `fetchData()` to manage potential network issues.

### Async/Await Patterns
- Use async/await consistently instead of mixing with `then` in asynchronous functions for readability.

### Function Decomposition
- Consider decomposing `processData()` into smaller functions to enhance readability.

5. Best Practices for Using Cloving CLI in Code Reviews

Here are some best practices to maximize your benefits from Cloving’s AI-powered code reviews:

  • Use Consistently: Make it a routine to run Cloving-generated reviews as part of your code submission process.
  • Focus on Learning: Treat AI-generated feedback as a learning opportunity to understand best coding practices.
  • Encourage Inclusive Feedback: As a team, regularly discuss AI-generated feedback to align on best practices and continuous improvement.

6. Engaging In Interactive Chat for Review Discussion

For complex changes or detailed discussions, Cloving’s interactive chat can be invaluable. Initiate it with:

cloving chat -f src/app.js

Within the chat, you can ask Cloving to elaborate on specific review points, generate additional code examples, or explore alternative solutions.

7. Benefits of Objective AI-driven Code Reviews

AI-driven code reviews offer numerous advantages:

  • Consistency: Reviews are uniform across the board, ensuring fair treatment for all code.
  • Objectivity: AI focuses on technical details rather than human idiosyncrasies.
  • Efficiency: Developers can focus on code quality rather than navigating personal biases.
  • Feedback Quality: High-quality feedback aimed at improving coding standards.

Conclusion

Embracing AI with the Cloving CLI in your code review process can help overcome subjective bias, ensuring a fair and consistent review approach. By providing objective insights purely based on code quality, it aids developers in enhancing their coding standards and promotes a more inclusive coding environment. Use Cloving CLI as your ally to foster an unbiased, efficient, and productive development workflow.

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