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⭐️ Start Here

This guide helps you navigate LinearB’s AI capabilities based on your role — from understanding AI impact and adoption, to enabling services, configuring automations, and extending AI insights with MCP.

Steven Silverstone
Updated by Steven Silverstone

LinearB AI helps engineering organizations understand how AI is actually used, trusted, and impacting delivery — from code generation and review to workflow automation and performance metrics.

This article helps you decide where to start based on your role and goals. You don’t need to read everything to get value from LinearB AI.
Summary
  • LinearB AI focuses on measuring impact, not just enabling AI tools.
  • AI Insights connect usage and acceptance to delivery, quality, and DORA metrics.
  • Admins control AI behavior through AI Services and AI Tools & Automations.
  • Advanced users can extend AI access using the MCP server.
If you are an Engineering Leader or Executive

Start here if your goal is to understand whether AI is helping and how it affects performance.

  • AI Insights – Overview
    Understand how AI usage, acceptance, and trust connect to delivery, quality, and DORA metrics.
  • AI Adoption
    See where AI contributes across commits, reviews, and pull requests.
  • AI Tools Usage
    Analyze how tools like Copilot and Cursor are actually used across teams.
If you are an Engineering Manager or Team Lead

Start here if your goal is to coach effectively and understand developer-level AI usage.

If you are an Admin or Platform Owner

Start here if your goal is to enable, control, and govern AI safely.

If you are an Advanced User or Developer

Start here if you want to extend LinearB AI or integrate it with external tools.

Need help deciding?

If you’re not sure where to begin, start with AI Insights – Overview . It provides the clearest picture of how AI connects to engineering outcomes.

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