LinearB Deployment API
LinearB's delivery API enables enterprise customers to customize their deploy-time measurement to detect code deployments via an API call. This can also be customized to account for additional pre-de…
LinearB Incident API: Setup and Best Practices
This API allows you to monitor incidents from any project or incident management tool, providing a flexible and efficient solution for comprehensive incident tracking.
Generating a LinearB API Token
LinearB enables you to: Track deployment times via API calls from your CI/CD system. Report incidents to measure metrics such as MTTR (Mean Time to Recovery) and CFR (Change Failure Rate) more accura…
Creating a Shortcut API Token
By following this guide, you’ll successfully integrate Shortcut with LinearB, enabling better project tracking and automation.
Release Notes - August 2025
Scale with new platform management APIs and smarter PR automations.
Sharing LinearB Metrics and Projects
Easily share LinearB metrics, dashboards, and project data through links, CSV exports, PNG files, or API integrations for seamless team collaboration.
Configuring the MCP Server in LinearB
This article explains how to configure the LinearB MCP (Model Context Protocol) server using either Claude Desktop with mcp-remote or Claude Code with a single CLI command. Once configured, Claude can connect to the LinearB MCP server, allowing you to securely use LinearB-specific prompts and extended capabilities. The guide covers prerequisites, installation steps for different operating systems, configuration methods, and how to access the Prompts panel in Claude.
Configuring Release Detection in LinearB
Configure code release detection methods.
AI Insights (duplicate)
AI Insights gives you a real-time view of how AI is used across your codebase. See issues flagged during reviews, track adoption across commits and PRs, and measure usage of tools like GitHub Copilot and Cursor. Interactive charts let you drill into details such as active users, acceptance rates, and lines written. Metrics exclude bots and chat-based automation, giving you an accurate picture of true developer + AI collaboration.
AI Tools Usage
AI Insights gives you a real-time view of how AI is used across your codebase. See issues flagged during reviews, track adoption across commits and PRs, and measure usage of tools like GitHub Copilot and Cursor. Interactive charts let you drill into details such as active users, acceptance rates, and lines written. Metrics exclude bots and chat-based automation, giving you an accurate picture of true developer + AI collaboration.
DORA Metrics Dashboard in LinearB
Monitor your software delivery performance with LinearB’s DORA Metrics Dashboard, tracking Cycle Time, Deployment Frequency, MTTR, and Change Failure Rate to optimize DevOps efficiency.
Configuring SCIM in Okta for LinearB
Configure SCIM in Okta for LinearB
What is CFR?
CFR - Change Failure Rate. CFR is a metric that represents the percentage of deployments causing a failure in production. LinearB calculates this metric based on the number of "production incidents"…
LinearB Admin Configuration Checklist
Refine your LinearB setup with this comprehensive admin checklist, covering user access, Git and PM integrations, cycle time, and best practices to ensure data accuracy and visibility across your organization.
Iterations Naming Conventions - Jira
Ensure seamless tracking of Jira issues in LinearB’s Iterations by following standardized branch and PR naming conventions.
