# AI-powered code review and unit test generation for GitHub pull requests
This automation triggers on new or updated pull requests in GitHub, using AI to analyze code changes, generate unit tests, and post feedback directly as PR comments. Designed for development teams aiming to improve code quality and streamline CI/CD with minimal manual intervention.
## Who it´s for
- Developers automating code reviews in GitHub
- Tech leads ensuring consistent code quality across the team
- DevOps engineers integrating AI into CI/CD pipelines
- Teams aiming for automatic unit test generation on code changes
## What the automation does
- Triggers via HTTP webhook on PR creation or update
- Fetches PR data and .diff files to identify changed components
- Sends code context to AI models (via LangChain agent) for analysis
- Generates unit tests and performs code review with improvement suggestions
- Posts results as a comment in the PR using GitHub API
## What´s included
- Ready-to-use n8n workflow
- Webhook handling and .diff parsing logic
- Integrations with GitHub, OpenAI, and HTTP API
- Basic text guide for setup and adaptation
## Requirements for setup
- GitHub account with repository access and webhook permissions
- OpenAI API access (or compatible model like o3-mini, gpt4.1-mini)
- Self-hosted or cloud n8n instance
- Valid API keys for all integrated services
## Benefits and outcomes
- Reduced developer workload during code reviews
- Improved code quality through automated testing
- Faster merge cycles due to instant feedback
- Early detection of bugs and design issues
- Standardized test coverage across codebase
## 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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