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 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.