Azure DevOps is a comprehensive suite of development tools for project management, code collaboration, and CI/CD pipelines.
Supercharge your development processes with AI agents that can automate tasks, analyze project data, and deliver actionable insights.
Azure DevOps provides robust DevOps and project management capabilities. Relevance AI enhances these capabilities with intelligent AI agents that can automate processes, analyze development data, and provide predictive insights.
Intelligent Automation
The agent automates repetitive tasks, freeing up valuable developer time.
Data-Driven Insights
The agent analyzes project data to provide actionable insights for better decision-making.
Enhanced Collaboration
The agent facilitates communication among teams, improving project visibility and coordination.
Relevance AI gives you access to Azure DevOps tools and capabilities within your AI-powered 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 Azure DevOps account with appropriate access permissions
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration leverages Azure DevOps' OAuth authentication, ensuring secure access to your development workflows and data. Relevance AI manages API operations seamlessly in the background, handling authentication headers and request formatting automatically.
Built-in request validation and response handling ensure reliable integration with Azure DevOps' REST APIs across your projects and repositories.
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 Azure DevOps + Relevance AI integration without writing code:
- Use consistent project structure: Maintain organized repositories and work items for efficient API access.
- Leverage authentication: Ensure proper OAuth setup and permission scopes for seamless authorization.
- Follow API best practices: Use appropriate HTTP methods and handle responses correctly.
- Implement error handling: Monitor API responses and set up retry mechanisms for failed requests.
- Manage rate limits: Space out API calls and batch operations to prevent throttling issues.
