In the rush to adopt generative AI tools like GitHub Copilot, many engineering leaders face a challenge: measurement. This talk presents a data-driven, role-sensitive metrics framework that enables organizations to move from experimentation /adoption to structured, scalable GenAI transformation.
This framework is categorized into:
• Usage & Engagement: Are Teams using GenAI tools? Where does usage drop, and when?
• Productivity & Throughput: How much time is saved? How are PR metrics evolving or degrading?
• Code Quality: Is GenAI-generated code as maintainable and bug-free as the code we write ourselves, and how do we know the auto-generated code is not introducing bugs?
• Role-Based Impact: Are junior engineers learning? Are seniors getting to focus on architecture?
Attendees will go out with:
1) Understanding of co-pilot telemetry
2) Pitfalls of adoptions and guardrails
3) Generating baseline metrics
This session is for Engineering Leaders, DevEx Teams to help them lead GenAI Initiatives with measurable impact