Automate GitLab Code Reviews with AI for Faster Development

AI-Powered Code Reviews for GitLab Merge Requests

This powerful n8n workflow integrates Artificial Intelligence into your GitLab merge request process, providing automated, expert-level code reviews. It's designed for development teams looking to streamline their code review process, catch issues earlier, and maintain high code quality without manual overhead.

Key Features

• Automated AI review of new code changes in GitLab merge requests.
• Provides expert feedback, identifying potential issues and suggesting improvements.
• Rates code changes with a score for quick assessment of quality.
• Posts detailed, Markdown-formatted review comments directly to GitLab discussions.
• Customizable trigger conditions for initiating a review.

How It Works

The workflow is activated by a webhook from GitLab when a merge request event occurs and meets a specific review trigger (e.g., a custom note is added). It then retrieves all code changes for that merge request via the GitLab API. Each file change is processed, with an If node filtering out renamed or deleted files, focusing only on relevant code diffs. The Parse Last Diff Line and Code nodes meticulously prepare the original and new code segments from the diff for AI analysis. An OpenAI Large Language Model (LLM), integrated via LangChain and configured as a "senior programming expert," analyzes the changes and generates a comprehensive review, including a quality score and actionable suggestions. Finally, this AI-generated feedback is automatically posted as a discussion comment, pinpointed to the specific lines of change within the GitLab merge request.