GitHub is a web-based platform that provides version control and collaboration tools for software development.
Enhance your development workflow with AI Agents that can automate code reviews, manage repositories, and facilitate real-time collaboration.
GitHub provides powerful version control and collaboration features for software development teams. Relevance AI transforms these capabilities with AI Agents that can automate code reviews, manage deployments, and streamline development workflows.
Streamlined Code Quality
The agent enhances code quality through automated reviews and best practice suggestions.
Accelerated Deployment
Automated deployment processes enable faster releases and quicker responses to market changes.
Proactive Issue Resolution
The agent analyzes issues and suggests resolutions, improving response times and customer satisfaction.
Relevance AI gives you access to GitHub's version control and collaboration tools within your automated workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration uses secure GitHub OAuth authentication, ensuring only authorized workflows access your repository data. Relevance AI handles GitHub API operations (GET, POST, PUT, PATCH, DELETE) in the background—so you don't have to worry about authentication tokens, request formatting, or rate limits.
Built-in request validation and response handling ensure your workflows run smoothly, even when working with different GitHub endpoints.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the GitHub + Relevance AI integration without writing code:
- Use proper authentication: Ensure OAuth credentials are correctly configured with appropriate access permissions.
- Follow API best practices: Use appropriate HTTP methods (GET for retrieval, POST for creation, etc.) for each operation.
- Structure API paths: Maintain clear and precise relative paths when making API requests to GitHub endpoints.
- Handle responses properly: Monitor response status codes and body content for successful API interactions.
- Respect rate limits: Implement appropriate delays between requests to stay within GitHub's API rate limits.
