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AI impact: Measure what matters

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GitHub Copilot here, Cursor there, Claude Code somewhere else. AI across tools is adopted, but is it actually working?

Speakers

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Ben Lloyd Pearson
Director, Developer Experience
LinearB
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Ofer Affias
Senior Director of Product
LinearB

About the workshop

The real challenge isn’t adoption; it’s understanding what happens after.

 

In this session, you’ll learn how to connect AI activity to commits, PRs, and delivery outcomes, and walk away with an operating model to prove and scale impact.

 

Answer whether your AI investments are working:

 

  • How much of your code is AI-assisted, and where is it contributing to code, reviews, and PRs?

 

  • Which tools are making the most impact across your delivery pipeline?

 

  • Which users, teams, and workflows are making the most AI impact?

 

  • Is AI improving throughput, or simply shifting work from coding to review and rework?

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