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LinearB AI - Explore & Learn

Explore how LinearB AI measures and improves delivery, quality, and developer experience, and how to roll out AI tools such as code assistants and automations across your engineering organization.

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MCP Server

AI Adoption

Understand how AI is actually being adopted across your organization. The AI Adoption view shows where AI contributes to commits, code reviews, and pull requests, helping you assess consistency, developer trust, and whether AI is becoming part of everyday development workflows.

AI Insights – FAQ

Answers common questions about AI detection, metrics, security, MCP access, and AI Reviews. Use this FAQ to understand how LinearB identifies AI activity and how AI insights are calculated and protected.

AI Insights – Overview

Understand how AI tools affect your engineering performance. AI Insights connects AI usage, acceptance, and trust signals to delivery, quality, and DORA metrics so you can measure real impact, not just adoption.

AI Iteration Summary for Teams

The AI Team Iteration Summary in Iterations provides a concise, AI-generated overview of your team’s performance across a completed iteration. It highlights key accomplishments, delivery insights, an…

AI Rule Files

Track where AI agents are being formally introduced into your repositories. AI Rule Files reveal which tools are configured, how widely they’re used, and where multiple agents coexist.

AI Tools Usage

Analyze how developers use AI coding tools like GitHub Copilot and Cursor. This view surfaces active users, acceptance rates, and code contribution trends so you can evaluate trust, engagement, and real productivity impact across teams.

Configuring Cursor

Measure Cursor AI usage across repositories and developers. This integration surfaces request activity, code suggestions, and acceptance metrics to help you assess AI effectiveness.

Configuring GitHub Copilot

Track GitHub Copilot adoption, usage, and acceptance rates across your teams. Connect Copilot to LinearB to understand how AI-generated code influences delivery and quality

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