Block 1 - GitHub PR webhook
- Type / Role
- n8n-nodes-base.webhook - webhook
- Config choices
- Version 1
Review GitHub pull requests with Gemini AI and post feedback automatically Who is this for Development teams and tech leads who want to maintain consistent code quality without manual review bottle...
n8n-nodes-base.webhook, n8n-nodes-base.code, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.googlesheets, n8n-nodes-base.slack, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Oka Hironobu.
Original n8n.io sourceDevelopment teams and tech leads who want to maintain consistent code quality without manual review bottlenecks. Perfect for teams handling multiple PRs daily and wanting AI-powered insights on security, bugs, and best practices.
When a GitHub pull request is created or updated, the webhook triggers the workflow. The system fetches the PR diff via GitHub API and analyzes each file's changes. Google Gemini AI reviews the code for potential bugs, security vulnerabilities, performance issues, and style improvements.
The AI generates detailed feedback which gets posted as a GitHub review comment. Every review is logged to Google Sheets for tracking, and the team receives a Slack notification with the PR status and summary.
Modify the AI prompt in the "Code review" node to focus on your team's specific coding standards. Adjust the review criteria, change notification channels, or add email alerts. Configure different review templates for different repositories by checking the repo name in the webhook data.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Review GitHub pull requests with Gemini and post feedback automatically |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Engineering, AI Summarization |
| Author | Oka Hironobu |
| Published | 20 Feb 2026 |
Use the JSON export at /data/workflows/13563/13563.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Review GitHub pull requests with Gemini AI and post feedback automatically Who is this for Development teams and tech leads who want to maintain consistent code quality without manual review bottle...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Summarization use case.