How to Use GPT for Automated Code Review Suggestions

Updated on April 13, 2025

Code Reviews
Richard Baldwin Cloved by Richard Baldwin and ChatGPT 4o
How to Use GPT for Automated Code Review Suggestions

In a world where software development cycles are becoming increasingly rapid, maintaining code quality is paramount. Automated code review tools can assist developers in identifying potential issues, enhancing code readability, and adhering to coding standards. The Cloving CLI tool, powered by AI, is an excellent companion for developers, as it automates code review suggestions. This blog post aims to guide you through using Cloving’s automated code review feature to improve your software’s quality effectively.

Introduction to Cloving CLI

Cloving is a command-line tool designed to integrate AI into your development workflow. Its goal is to enhance productivity and code quality by leveraging AI capabilities across various coding tasks, including code review.

1. Setting Up Cloving

To start using Cloving for automated code review suggestions, ensure that Cloving is installed and configured in your environment.

Installation:
You can globally install Cloving using npm:

npm install -g cloving@latest

Configuration:
Configure Cloving with your preferred AI model and API key for optimal functionality:

cloving config

Follow the provided prompts to enter your API key, select your AI model, and set your preferences.

2. Initializing Your Project for Code Reviews

To utilize Cloving’s full capabilities, initialize your project:

cloving init

This command analyzes your project to create a cloving.json file with metadata that helps Cloving understand your application’s context.

3. Conducting Automated Code Reviews

The automated code review is one of the most impressive features of the Cloving CLI—helping you quickly spot potential issues in your codebase.

Example:
Let’s see how you can use Cloving to get a code review for your project:

cloving generate review

This command will initiate an AI-powered code review process for your project files. The output will likely include insights like the following:

# Code Review: Enhancements and Bug Fixes

## General Observations
- There is room for improving function naming conventions for better readability.
- Consider reducing cyclomatic complexity in some functions.

## Specific Suggestions
1. **src/utils/helpers.ts**:
    - The `calculate` function can be split into smaller, more specific functions to improve maintainability.
    - Unused variables in several places should be eliminated for cleaner code.

2. **src/services/apiService.ts**:
    - Adding error handling for failed network requests would enhance robustness.

4. Interpreting and Implementing Review Suggestions

The AI-powered review will provide actionable insights into improving your code. Here’s how you can turn these suggestions into improvements:

  • Rename variables or functions for clarity.
  • Refactor complex functions to enhance readability and maintainability.
  • Add error handling and improve exception management.
  • Remove dead code or unused imports.

5. Using Cloving Chat for In-Depth Analysis

For a deeper dive into specific code blocks, consider using Cloving’s chat feature:

cloving chat -f path/to/file.ts

This mode allows real-time interaction with AI, where you can ask questions and receive explanations or additional suggestions.

Example Interaction:

cloving> Explain the potential issues in the `calculate` function in `src/utils/helpers.ts`.

The function `calculate` can be broken down into smaller components to reduce complexity. It also lacks validation checks for input values, which could lead to errors during execution.

6. Saving and Versioning Reviewed Code

After reviewing and implementing changes, Cloving can help you create meaningful commit messages:

cloving commit

This command generates commit messages based on your changes, ensuring they are informative and contextually relevant.

Conclusion

By using the Cloving CLI for automated code review suggestions, you can significantly improve the quality of your codebase. Cloving’s integration with AI not only detects potential problems but also provides actionable insights, helping you maintain robust, clean, and efficient code.

Incorporating Cloving into your development workflow can save time and boost productivity while ensuring your projects adhere to best practices and maintain high standards of code quality. Embrace Cloving’s capabilities and elevate your software development process to new heights.

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