For Engineering Leaders
Measuring AI impact on engineering productivity
Are Copilot, Cursor, and Claude actually changing how your engineers ship? CollaborationSonar shows how your delivery output - PR throughput, review patterns, time-to-merge - moved before and after the AI rollout, from the audit logs you already have. No IDE telemetry on developer machines.
What you get
- See delivery output before vs after the AI rollout
- PR throughput, cycle time, and review load - trended
- Spot where AI helps and where it just moves bottlenecks
- Audit-log-based - no IDE plugins, no developer-machine telemetry
Sounds familiar?
- You rolled out Copilot org-wide last quarter and the CFO is asking whether it earned its license cost.
- Your engineers have opinions about Cursor; your board wants evidence - a non-anecdotal before/after.
- 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.