Skip to main content

AI Tools Integrations

LinearB supports multiple AI coding tools that can be connected to track adoption, usage, token consumption, and AI-attributed development activity across your engineering organization. Use the artic…

Steven Silverstone
Updated by Steven Silverstone

LinearB supports multiple AI coding tools that can be connected to track adoption, usage, token consumption, and AI-attributed development activity across your engineering organization.

Use the articles below to configure supported AI integrations and understand the data available from each provider.

LinearB currently supports:

  • GitHub Copilot using classic and fine-grained Personal Access Tokens (PAT)
  • Cursor
  • Claude Code using API and OpenTelemetry (OTEL) integrations
  • Amazon Q Developer
  • Amazon Kiro

Current Integrations

These integrations are currently supported in LinearB.

GitHub Copilot (PAT Classic)

Track GitHub Copilot adoption, usage, acceptance, and supported token consumption data using a classic Personal Access Token (PAT).

GitHub Copilot (Fine-Grained PAT)

Connect GitHub Copilot using a fine-grained Personal Access Token (PAT) with scoped organization access and granular permission control.

Cursor

Measure Cursor adoption, request activity, acceptance, and AI consumption across your engineering organization.

Claude Code

Connect Claude Code to LinearB and choose the integration method that matches your Claude environment.

Amazon Q Developer

Connect Amazon Q Developer to LinearB to measure AI-assisted development activity and understand adoption across your engineering organization.

Amazon Kiro

Connect Amazon Kiro to LinearB to measure AI-assisted development activity alongside your other supported AI tools.

Claude Code Integration Methods

LinearB supports multiple methods for collecting Claude Code usage data. Choose the method that matches how Claude Code is deployed in your organization.

How did we do?

AI ROI Dashboard

AI Tools Usage

Contact