Automated GitHub PR Code Reviews with GPT-4 & Google Sheets

Automates AI-powered code reviews for GitHub pull requests using OpenAI GPT-4, extracting diffs and enriching with best practices from Google Sheets, then posting reviews and labels.

n8n
Automated GitHub PR Code Reviews with GPT-4 & Google Sheets

This n8n workflow streamlines GitHub pull request reviews by triggering on PR creation, fetching code diffs, formatting them into prompts, and leveraging GPT-4 for intelligent analysis. It pulls custom code best practices (e.g., Swift guidelines) from a Google Sheet to ensure reviews align with your team's standards, generating comprehensive feedback on code quality, bugs, and improvements.

Benefits include massive time savings for developers, consistent review quality powered by AI, and visual PR labeling (e.g., ✅ Reviewed by AI) for quick status checks. It reduces manual review bottlenecks, enforces best practices automatically, and scales effortlessly for high-volume repos without hiring more reviewers.

Ideal use cases: Development teams managing multiple repos, open-source projects needing fast feedback, startups accelerating CI/CD pipelines, or enterprises standardizing code reviews across Swift/iOS projects. Prerequisites include GitHub credentials, OpenAI API key, and optional Google Sheets setup for customizable rules.

Setup is straightforward: Import the workflow, configure GitHub trigger for your repo, add OpenAI credentials, link your best practices sheet, and activate. It handles authentication dynamically for seamless PR commenting and labeling.

$22.99
Last updated October 3, 2026
30-day money-back guarantee
Instant download
Lifetime updates included

New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.

Secure checkout powered by Stripe

Support

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

Related AI & Machine Learning workflows

More from QualityWorkflows

Need this deployed? We'll set it up for you.

Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.