Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Automatically review pull requests with AI and post feedback as GitHub comments Who is this for Engineering teams, code reviewers, and tech leads who want to automate code review feedback. Ideal fo...
n8n-nodes-base.stickynote, n8n-nodes-base.githubtrigger, n8n-nodes-base.if, n8n-nodes-base.httprequest, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.github, n8n-nodes-base.slack
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by TakatoYamada.
Original n8n.io sourceEngineering teams, code reviewers, and tech leads who want to automate code review feedback. Ideal for repositories with high PR volume where consistent first-pass review is valuable.
This workflow automates pull request code review using GPT-4o and routes findings to GitHub and Slack. When a pull request is opened, it fetches the raw diff, sends it to GPT-4o for analysis, and posts a formatted Markdown comment with severity rating, categorized issues, suggestions, and an overall score. Critical findings trigger immediate Slack alerts.
GITHUB_OWNER, GITHUB_REPO, and GITHUB_TOKENAdjust the diff truncation limit (default 12,000 chars) in the Format PR Diff node. Modify the GPT-4o system prompt to focus on specific code quality concerns like security or performance. Update Slack channel routing based on your team's notification policy.
| # | Node Name | Type | Purpose |
|---|---|---|---|
| 1 | When PR Opened | GitHub Trigger | Receives pull_request webhook events |
| 2 | Check PR Open | If | Passes only action = opened to avoid duplicates |
| 3 | Fetch PR Diff | HTTP Request | Fetches the raw unified diff from GitHub |
| 4 | Format PR Diff | Code | Extracts PR metadata; truncates diff to 12,000 chars |
| 5 | AI Code Review with GPT-4 | OpenAI | Sends diff to GPT-4o; returns structured JSON review |
| 6 | Build Comment for GitHub | Code | Parses JSON; assembles Markdown comment |
| 7 | Post Comment to GitHub | GitHub | Posts the AI review comment on the pull request |
| 8 | Check Critical Severity | If | Routes based on CRITICAL vs non-critical severity |
| 9 | Alert Critical Issues to Slack | Slack | Sends urgent alert to #incident |
| 10 | Share Review Summary on Slack | Slack | Sends summary notification to #code-reviews |
Total: 10 nodes (+ 5 Sticky Notes)
| # | Sticky Note Title | Color | Role |
|---|---|---|---|
| 1 | Main Sticky Note (Overview) | Yellow | Workflow overview, How it works, Setup steps, Customization |
| 2 | Trigger and filter PR | White | Covers GitHub trigger and PR filter |
| 3 | Fetch and format diff | White | Covers diff retrieval and formatting |
| 4 | AI review and comment | White | Covers AI review and comment building |
| 5 | Severity check and alerts | White | Covers severity routing and Slack notifications |
All sticky notes use H2 headings (## ) and follow n8n public guidelines.
ai gpt-4 openai github slack code-review devops automation
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 GPT-4o and send feedback and Slack alerts |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | DevOps, AI Summarization |
| Author | TakatoYamada |
| Published | 26 Apr 2026 |
Use the JSON export at /data/workflows/15306/15306.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.
Automatically review pull requests with AI and post feedback as GitHub comments Who is this for Engineering teams, code reviewers, and tech leads who want to automate code review feedback. Ideal fo...
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 DevOps, AI Summarization use case.