How to Automate Code Review Using AI in Just 1 Hour

If you’ve ever spent hours combing through code reviews, you know how tedious and time-consuming it can be. As a solo founder or indie hacker, your time is your most valuable asset. Automating code reviews with AI can save you a significant amount of time, and surprisingly, you can set it up in just about an hour. In this guide, I’ll show you how to do it, what tools to use, and share some honest insights based on our experiences.

Prerequisites: What You Need to Get Started

Before diving into automation, here’s what you’ll need:

• GitHub or GitLab account: Most AI tools integrate directly with these platforms.
• Codebase ready for review: Have a repository with code that needs reviewing.
• Familiarity with your coding standards: Make sure you know what you want the AI to look for.
• Basic understanding of CI/CD pipelines: This will help in integrating the tools.

Step-by-Step Setup: Automating Your Code Review

1. Choose Your AI Code Review Tool

   • I’ll provide a list of tools below, but select one that fits your specific needs.

2. Create an Account and Connect to Your Repository

   • Sign up for the tool and link it to your GitHub or GitLab repository.

3. Configure Review Settings

   • Set the coding standards and rules you want the AI to enforce. This is crucial for effective automation.

4. Integrate with Your CI/CD Pipeline

   • Follow the tool's documentation to integrate the AI into your existing CI/CD workflow. Most tools will provide simple scripts or plugins.

5. Run Your First Code Review

   • Push a commit to your repository and watch the AI perform its magic. You should receive feedback almost instantly.

6. Review AI Feedback

   • Check the feedback provided by the AI. It might not catch everything, but it should highlight the major issues.

7. Iterate and Improve

   • Adjust the settings based on the feedback you receive. Fine-tuning is key to making the most out of this automation.

Tool Comparison: Best AI Tools for Code Review

Here’s a breakdown of the top AI tools for automating code reviews, along with their pricing and limitations.

| Tool | Pricing | Best For | Limitations | Our Take | |--------------------|--------------------------|----------------------------|--------------------------------------|-----------------------------------| | DeepCode | Free tier + $19/mo Pro | JavaScript, Java, Python | Limited language support | We use this for JavaScript projects. | | CodeGuru | $19/mo per user | Java, Python | Best for larger teams | Don’t use for small projects. | | Codacy | Free tier + $15/mo Pro | Multiple languages | Can be overwhelming for beginners | We like the dashboard features. | | SonarQube | $0-150/mo (self-hosted) | Any language | Requires setup time | Best for established teams. | | Reviewdog | Free | Any language | Requires some setup | We love its GitHub integration. | | Sourcery | Free tier + $24/mo Pro | Python | Limited to Python only | Great for quick feedback. | | GitHub Copilot | $10/mo | Any language | Not specifically for reviews | We don’t use it for code reviews. | | CodeScene | $0-100/mo | Any language | Expensive for small teams | Good for understanding code health. | | Ponicode | Free tier + $15/mo Pro | JavaScript, Python | Limited features in free version | We use this for testing. | | Hound | Free | Ruby, JavaScript | Limited to certain languages | A useful tool for Ruby projects. |

What We Actually Use

In our experience, we rely heavily on Codacy for its language support and ease of integration with our CI/CD pipeline. For smaller projects, DeepCode is our go-to due to its robust feedback mechanism without overwhelming us with options.

Conclusion: Start Here

Automating your code review process can drastically reduce the time you spend on manual checks. Start by selecting one of the tools mentioned above and follow the step-by-step guide. You can get this set up in just about an hour, and the time saved in the long run is well worth it.

For a deeper dive into these tools and to see how we implement them in our projects, consider following our journey on the Built This Week podcast.