Beyond the Hype: Actually Measuring AI's Impact on Your Engineering Team
On Demand
84% of developers are using AI coding tools. But when leadership asks about ROI, most engineering leaders are stuck between "it feels faster" and "I can't actually prove it."
License counts don't tell the story. Velocity metrics can't isolate the AI variable. And gut feelings don't satisfy CEOs, CFOs, and boards.
In this 30-minute session, GitKraken VP of Engineering Stasia Zamyshlyaeva shares her real experience navigating AI adoption, the questions from leadership she couldn't answer, the difference between adoption and effective adoption, and what she wishes she'd known earlier. Then Director of Product Jeff Schinella will discuss the AI metrics that are now available and how we are able to distill AI impact across Copilot, Cursor, Claude Code, and Gemini Code Assist. This data makes it possible for you to go well beyond which of your developers has a license to AI tooling and distill how much they are using them and how their use is different across your team.
You'll learn:
- How to track actual AI tool adoption vs. licenses vs. impact
- Why acceptance rates matter more than usage counts.
- How to compare AI-assisted teams against the rest with cohort analysis.
- Which metrics actually answer the
ROI question for leadership and investors
Who should attend: VPs/Directors of Engineering, CTOs, and engineering leaders who've rolled out AI coding tools and need to demonstrate impact—or who are planning a rollout and want to measure it right from the start.
FEATURED SPEAKERS:
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