In the Trenches: How High‑Performing Teams Track AI Usage, Quality, and Outcomes

AI tools like Copilot and Cursor are changing how developers write code—but are they actually helping your team ship better software?

In this session, Jeremy Castile, VP of Developer Research at GitKraken, shares findings from one of the most comprehensive developer-AI studies to date. Drawing on 211 million lines of code and input from hundreds of engineering teams, we’ll reveal how feeling productive doesn’t always mean being productive.

Then we’ll dive into four concrete frameworks you can use right now to measure AI’s real impact across your engineering org. You’ll learn how today’s top-performing teams are going beyond vague productivity claims to track real AI impact across usage patterns, code quality, developer experience, and business outcomes.

Whether you’re trying to justify AI tool spend to your CFO or uncover hidden tech debt before it slows your team down, this is your playbook for cutting through the hype and getting to the truth. 

Perfect for engineering leaders and anyone tasked with making smarter decisions about AI in software delivery.