Your Developers Feel More Productive. Your Codebase Disagrees.

AI adoption is up. Developer confidence is up. So why is code duplication
up 10x since 2022?

GitKraken VP of Developer Research Jeremy Castile shares the frameworks
we built after analyzing 211 million lines of code and talking to hundreds
of engineering teams. This is the playbook version of the research —
practical, not theoretical.

In this session, you'll learn:

• The 4 measurement layers every engineering org needs (direct AI usage,
• code health, developer experience, and business outcomes)
• Why 79% of code changes now touch code less than a month old, and what
• that actually means for your team
• How to diagnose friction, run cohort analysis, and compare AI vendors
• on a neutral standard
• How to communicate AI impact to your CTO, your CPO, and your CFO in
• their own language

The gap between how productive developers feel and what's actually
happening in the codebase is real. If you can't measure it, you're just
guessing. Nobody wants to be guessing with this stuff.

Download our free guide "Quantifying the Impact of AI" and try GitKraken
Insights free at gitkraken.com/insights.

GitKraken Desktop:
http://tr.ee/GKDYT

GitKraken CLI:
http://tr.ee/CLIYT

GitLens for VS Code:
http://tr.ee/GLYT

Git Integration for Jira:
http://tr.ee/GijYT

Git Blog:
http://gitkraken.com/blog