Developer & DevOps
Automated ChatGPT code review in GitLab
14 nodes
202
149
Webhook
Workflow Description
Automate code reviews in GitLab using ChatGPT. Triggered on merge requests, it analyzes code changes and posts intelligent comments directly to the pull request for immediate feedback.
How it works
- 1.Receive webhook trigger from GitLab on merge request creation or update
- 2.Extract changed file contents and analyze code differences
- 3.Process code through LLM Chain and ChatGPT model for quality and security assessment
- 4.Evaluate results and categorize issues by severity level
- 5.Post detailed review comments and suggestions to the merge request
- 6.Log findings and generate audit reports for team reference
Use cases
- Automate code quality checks and enforce best practices without manual review
- Detect bugs and security vulnerabilities before code merges to production
- Provide instant feedback to developers about code style and standards compliance
Requirements
- Active OpenAI account with valid API key configured
- GitLab project with webhook and API access enabled
- Sufficient permissions to add comments on merge requests
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
OpenAI
LLM Chain
Details
Trigger
Webhook
Nodes
14
Apps
2
Views
202
Downloads
149
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (14)
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Sticky Note
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Webhook
Webhook
Code
Code
Split Out1
Split Out
OpenAI Chat Model1
OpenAI
Get Changes1
HTTP Request
Skip File Change1
If
Parse Last Diff Line1
Code
Post Discussions1
HTTP Request
Need Review1
If
Basic LLM Chain1
LLM Chain
Sticky Note4
Sticky Note