ChatGPT Automatic Code Review in Gitlab MR

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Who this template is for This template is for every engineer who wants to automate their code reviews or just get a 2nd opinion on their PR. How it works This workflow will automatically review you...

Best for

Engineering automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.if, n8n-nodes-base.httprequest, n8n-nodes-base.splitout, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.webhook

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by assert.

Original n8n.io source

1.1 Workflow description

Title: ChatGPT Automatic Code Review in Gitlab MR
Workflow name: ChatGPT Automatic Code Review in Gitlab MR

Who this template is for

This template is for every engineer who wants to automate their code reviews or just get a 2nd opinion on their PR.

How it works

This workflow will automatically review your changes in a Gitlab PR using the power of AI. It will trigger whenever you comment with +0 to a Gitlab PR, get the code changes, analyze them with GPT, and reply to the PR discussion.

Set up Steps

Set up webhook of note_events in Gitlab repository (see here on how to do it)
Configure ChatGPT credentials
Note "+0" in MergeRequest to trigger automatic review by ChatGPT

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Need Review

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 6 - Get Changes

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 7 - Split Out

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 8 - Skip File Changes

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 9 - Parse Last Diff Line

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 10 - Basic LLM Chain

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.5

Block 11 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 12 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 13 - Code

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - Post Discussions

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

3. Summary Table

Workflow	ChatGPT Automatic Code Review in Gitlab MR
Complexity	intermediate
Nodes	14
Categories	Engineering, AI Summarization
Author	assert
Published	07 Mar 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2167/2167.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Download workflow JSON Original n8n.io source Engineering workflows AI Summarization workflows

Frequently asked questions

What does ChatGPT Automatic Code Review in Gitlab MR do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.

assert

1 workflow

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.if n8n-nodes-base.httprequest n8n-nodes-base.splitout n8n-nodes-base.code @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.webhook

Complexity

intermediate

Published 07 Mar 2024

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/2167/2167.json

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ChatGPT Automatic Code Review in Gitlab MR

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who this template is for

How it works

Set up Steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Sticky Note2

Block 3 - Sticky Note3

Block 4 - Sticky Note4

Block 5 - Need Review

Block 6 - Get Changes

Block 7 - Split Out

Block 8 - Skip File Changes

Block 9 - Parse Last Diff Line

Block 10 - Basic LLM Chain

Block 11 - OpenAI Chat Model

Block 12 - Webhook

Block 13 - Code

Block 14 - Post Discussions

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions