Virtual Workshop
Closing the AI gap: Surpassing executive expectations for AI productivity
In this 35-minute technical workshop, we’ll show you how to use your own engineering data to understand where AI is actually helping, where it’s hurting, and where to focus your next investment.
We’ll explore:
MCP prompts for identifying DevEx and AI trends across the SLDC
How to combine dev surveys with AI acceptance metrics to build an ROI story
The AI workflows and reporting frameworks enterprise teams at Expedia, Adobe & Syngenta are using to evolve their DevEx practices
*All registrants will receive the recording and our AI Productivity Guide for Engineering Leaders after the workshop.
Sessions
1pm ET on September 17, 2025
11am GMT on September 18, 2025
Preferred Session
About the workshop
The AI disconnect between executive expectations and engineering reality is being felt by everyone. It’s true that AI tools can increase the rate of code generation, but that doesn’t matter if the rest of your pipeline isn’t prepared to deliver more code faster.
In this workshop, we’ll cut through the mixed messages and break down how to move beyond basic code generation with a more grounded, actionable way to evaluate AI productivity.
You’ll walk away with
An advance copy of our AI Productivity Guide, outlining a practical, data-driven approach to measuring AI adoption and impact across your teams.
Which leading AI tools best fit different team profiles, and how to compare their downstream impact on velocity, quality & DevEx.
Tactical reporting examples you can use immediately to align AI adoption with your org’s goals.
About the guide
We built the industry’s first AI measurement framework to track adoption, impact, and ROI of engineering AI tools – combining quantitative metrics, qualitative developer feedback, and real-world workflow data to help leaders gauge where AI is impacting productivity and quality.
Register above to receive an early copy of the AI Productivity Guide for Engineering Leaders in your inbox.