For Engineering Leaders
WIP · In development Measuring AI impact on engineering productivity
Are Copilot, Cursor, and Claude actually changing how your engineers ship? We are building signals on top of the same audit logs to show how AI tool adoption shifts PR throughput, review patterns, and time-to-merge - without IDE telemetry on developer machines.
What you get
- Track AI tool adoption per team without surveys
- Compare delivery patterns before and after AI rollout
- Spot where AI helps and where it just moves bottlenecks
- Audit-log-based - no IDE plugins required
Sounds familiar?
- You rolled out Copilot org-wide last quarter and the CFO is asking whether it earned its license cost.
- Half your engineers swear by Cursor and the other half ignore it - you want a non-anecdotal view.
- You want to know whether AI tools shift work earlier in the lifecycle or just relocate the bottleneck.
Want to see this on your data?
30-minute walkthrough. We'll show what the dashboards look like for a setup like yours.