# Automated code review in GitLab triggered by +0 comment with OpenAI analysis
This workflow automates preliminary code review in GitLab using AI. When a ´+0´ comment is added to a merge request, the system triggers OpenAI via LangChain to analyze code changes and posts structured feedback directly into the MR discussion. It accelerates code review cycles and helps identify issues before human reviewers engage.
## Who it´s for
- Developers using GitLab for code management
- Tech leads aiming to automate code reviews
- DevOps teams implementing CI/CD with automated code analysis
- Companies seeking to improve code quality with AI
## What the automation does
- Listens for GitLab webhook on ´+0´ comment event
- Retrieves code diff from the merge request
- Filters and parses context of changed lines
- Sends data to OpenAI via LangChain agent
- Generates structured review with score and recommendations
- Posts result as a new discussion thread in MR
## What´s included
- Ready-to-use n8n workflow
- Webhook and comment trigger logic
- Integrations with GitLab (via HTTP API) and OpenAI
- JavaScript Code Node for diff parsing
- Basic setup and adaptation guide
## Requirements for setup
- GitLab account with API access and MR read permissions
- OpenAI API key
- Running n8n instance with internet access
- Basic understanding of webhooks and API usage
## Benefits and outcomes
- Faster initial code review phase
- Early detection of obvious bugs before senior review
- Onboarding support for new team members via instant feedback
- Consistent baseline code quality standards
- Reduced load on tech leads and architects
- Scalable review process without hiring more experts
## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat
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