LinearB is a software development analytics platform that provides engineering teams with insights into their workflows and performance metrics.
Enhance your development processes with AI Agents that can automate reporting, predict resource needs, and optimize team productivity.
LinearB delivers deep engineering workflow analytics and performance metrics. Relevance AI transforms this data into intelligent actions through AI Agents that can analyze, predict, and optimize development processes.
Data-Driven Insights
The agent analyzes real-time data to provide actionable insights for informed decision-making.
Predictive Analytics
The agent forecasts resource needs and project timelines based on historical data trends.
Automated Reporting
It generates performance reports automatically, saving time and ensuring up-to-date information.
Relevance AI gives you access to LinearB's development analytics 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 LinearB account
- A Relevance AI account with access to your workspace
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your LinearB data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary.
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.
To get the most out of the LinearB + Relevance AI integration without writing code:
- Configure OAuth properly: Ensure correct LinearB account authorization and permission settings.
- Use correct API paths: Double-check endpoint URLs and maintain proper path formatting.
- Handle responses effectively: Monitor response status codes and implement proper error handling.
- Optimize requests: Use appropriate HTTP methods and structure request bodies efficiently.
- Manage headers wisely: Set necessary custom headers while respecting authorization header requirements.
