Many engineering leaders are asking:
“We’ve deployed GitHub Copilot—so now what?”
In this session, we dive into how to move beyond usage dashboards and get real insights into developer productivity, code quality, and security trends.
In this webinar we’ll cover how to:
Measure Productivity Gains
- See how AI code assistants are actually affecting story points, cycle times, and commit velocity.
- Identify trends over time—and where real efficiencies are showing up in your SDLC.
Understand DevEx & Developer Sentiment
- Track how AI tools like Copilot impact developer happiness, flow state, and satisfaction.
- Learn how to use this data to support—not penalize—developers.
Track Security and Code Quality
- Monitor static code analysis, vulnerabilities, and quality regressions.
- See if AI-generated code is increasing risk—or improving stability.
- Get ahead of mistakes before they reach production.
AI Assistant Trends Beyond Copilot
- See what’s coming next: insights into tools like Cursor, Amazon Q, and Poolside.
- Compare effectiveness and usage across platforms.
Who Should Attend:
- Software Development Leaders
- Engineering & DevOps Managers
- CIOs, CTOs, and Heads of Platform
Why This Matters:
Half of organizations are chasing Copilot’s productivity gains while the other half are focused on developer experience. Few can prove either. We’ll show you how to get the data and bridge the gap—without adding pressure or oversight.
Get the Insights You’re Missing.
Watch the webinar and see how to go from “We have Copilot” to “Here’s what it’s doing for us.”
