Ai Coding Tools

How to Use GitHub Copilot for Real-Time Code Review in Under 60 Minutes

By BTW Team4 min read

How to Use GitHub Copilot for Real-Time Code Review in Under 60 Minutes

As indie hackers and solo founders, we often juggle multiple roles, and code reviews can feel like a daunting task. You might find yourself spending hours sifting through lines of code, trying to catch bugs or improve functionality. But what if I told you that you could leverage AI to streamline this process? In 2026, GitHub Copilot has evolved into a powerful tool that can assist you in conducting real-time code reviews, significantly reducing the time you spend on this crucial task.

Time Estimate: 60 Minutes

You can finish this setup in about 60 minutes if you follow the steps closely.

Prerequisites

  • A GitHub account (free or paid)
  • Visual Studio Code (VS Code) installed
  • GitHub Copilot subscription (free trial available)
  • Basic understanding of Git and GitHub

Step-by-Step Guide to Using GitHub Copilot for Code Reviews

Step 1: Set Up GitHub Copilot

  1. Install the GitHub Copilot Extension: Open VS Code, go to the Extensions view, and search for "GitHub Copilot." Click "Install."
  2. Sign In: After installation, sign in with your GitHub account. You may need to accept the terms of service.

Step 2: Create a Code Review Branch

  1. Clone Your Repository: Use Git to clone the repository you wish to review.
  2. Create a New Branch: Run git checkout -b review-branch in your terminal to create a new branch for your code review.

Step 3: Start the Review Process

  1. Open a File: Navigate to the file you want to review in VS Code.
  2. Invoke Copilot: Start typing or ask Copilot to suggest improvements by typing a comment like // Suggest improvements above the code block you want to review.

Step 4: Implement Copilot Suggestions

  1. Review Suggestions: Copilot will provide real-time suggestions. Review these suggestions carefully.
  2. Accept or Modify: You can accept a suggestion by pressing Tab or modify it as needed.

Step 5: Document Changes

  1. Add Comments: Use comments to document your thought process and any changes made based on Copilot's suggestions.
  2. Commit Changes: After your review, commit the changes: git commit -m "Code review updates with Copilot suggestions".

Step 6: Push Changes and Create Pull Request

  1. Push Your Branch: Run git push origin review-branch.
  2. Open Pull Request: Go to GitHub, and create a pull request to merge your changes into the main branch.

What Could Go Wrong

  • Inaccurate Suggestions: Sometimes, Copilot may suggest code that doesn’t fit your project. Always review suggestions critically.
  • Integration Issues: Ensure that your GitHub repo is properly linked to your local setup to avoid push errors.

What's Next?

Once you’ve successfully conducted a code review with Copilot, consider integrating it into your regular workflow. You might also want to explore other AI tools that can assist in different stages of your development process.

Tool Comparison: GitHub Copilot vs. Other AI Code Review Tools

| Tool | Pricing | Best For | Limitations | Our Take | |--------------------|-----------------------------|-------------------------------|-------------------------------------|-------------------------------| | GitHub Copilot | $10/mo, free trial available| Real-time code suggestions | Sometimes suggests irrelevant code | We use this for code reviews | | Codeium | Free tier + $19/mo pro | Quick code completions | Limited language support | We don’t use this because of limited features | | Tabnine | Free tier + $12/mo pro | AI-powered code completion | Less context-aware than Copilot | We tried this but prefer Copilot's context | | Sourcery | Free for open source, $12/mo| Automated code improvements | Limited to Python | We use this for Python projects | | DeepCode | From $19/mo | Finding bugs | Limited to supported languages | We don’t use this because we prefer Copilot's integration | | Kite | Free tier + $16.60/mo pro | Code completions | Requires internet connection | We use this for quick snippets | | Replit | Free tier + $20/mo | Collaborative coding | Performance issues on large projects | We tried this for pair programming | | Codex | $18/mo | Advanced code generation | Complexity in setup | We don’t use this due to its complexity |

Conclusion

Using GitHub Copilot for real-time code reviews can save you hours of work and improve your code quality significantly. Start by integrating it into your workflow today, and see how it changes your coding experience. If you're looking for a practical tool that enhances productivity without breaking the bank, GitHub Copilot is a solid choice.

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