Home/Learn/AI Code Review Setup Guide for GitHub
Implementation
6 min read
Updated January 2025

AI Code Review Setup Guide for GitHub

Complete step-by-step tutorial to integrate AI-powered code review with your GitHub repositories. Get automated feedback, bug detection, and security scanning in under 5 minutes.

What you'll achieve: Automated AI code reviews on every pull request with zero configuration overhead

Prerequisites

Required Access

  • GitHub repository admin access
  • Ability to install GitHub Apps
  • Repository webhook permissions

Estimated Time

  • 3-5 minutes: Initial setup
  • 2-3 minutes: Configuration
  • 1-2 minutes: Testing
1

Connect Your GitHub Account

Start by connecting your GitHub account to enable AI code review on your repositories. This creates the necessary authentication and permissions for automated reviews.

GitHub Integration Steps

  1. 1

    Visit the GitHub Apps page

    Navigate to your repository settings → Integrations → GitHub Apps

  2. 2

    Install Propel AI Code Review App

    Click "Install" on the Propel GitHub App and authorize access

  3. 3

    Select repositories

    Choose specific repositories or grant access to all repositories

Security Note

The GitHub App only requests the minimum permissions needed: repository content (read), pull requests (read/write), and checks (write). Your code never leaves your GitHub environment.

2

Configure Review Settings

Customize the AI review behavior to match your team's preferences and coding standards. These settings determine what types of feedback you'll receive and when.

Review Scope

Review Triggers

Recommended Settings for New Teams

Enable:

  • ✓ Code quality issues
  • ✓ Security vulnerabilities
  • ✓ New pull requests
  • ✓ Pull request updates

Start disabled:

  • • Style and formatting (until team adapts)
  • • Draft PRs (reduces noise)
  • • Direct commits (for urgent hotfixes)
3

Test the Integration

Verify that AI code review is working correctly by creating a test pull request. This ensures the integration is properly configured and reviews are being generated.

Quick Test Process

1

Create a test branch

# Create and switch to test branch
git checkout -b test-ai-review
2

Add code with intentional issues

# Example: Add a file with potential issues
function test() {
  var x = "unused variable";
  console.log("Hello world")
}
3

Create pull request

# Commit and push changes
git add .
git commit -m "Test AI code review"
git push origin test-ai-review

Expected Results

Within 30 seconds: AI review comments appear on the pull request

Check status: Propel AI Review check shows as completed

Review quality: Comments are specific, actionable, and line-specific

4

Advanced Configuration (Optional)

Fine-tune your AI code review setup with advanced features for specific use cases, team workflows, and integration requirements.

Branch Protection Rules

Require AI review approval before merging:

Repository → Settings → Branches → Add Rule

  • ✓ Require status checks to pass
  • ✓ Require "Propel AI Review" check
  • ✓ Require branches to be up to date

Webhook Configuration

Custom webhook settings (advanced users):

Repository → Settings → Webhooks

  • • Payload URL: Auto-configured
  • • Content type: application/json
  • • Events: Pull requests, Push

Team Customization Options

Review Frequency

  • • Every commit
  • • PR creation only
  • • On-demand trigger

Comment Style

  • • Detailed explanations
  • • Brief suggestions
  • • Code fix proposals

Integration Level

  • • Advisory comments
  • • Blocking reviews
  • • Hybrid approach

Troubleshooting Common Issues

AI reviews not appearing on pull requests

Check webhook delivery in repository settings. Verify the GitHub App has repository access and pull request permissions.

Reviews taking longer than expected

Large pull requests (500+ lines) may take 2-3 minutes. Consider breaking up large changes into smaller, focused PRs.

Too many or too few review comments

Adjust review scope settings in the configuration dashboard. Start with 'High Priority Issues Only' for cleaner feedback.

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