Track Sourcegraph Cody adoption, impact, and ROI directly in DX
Greyson Junggren
Co-founder, CRO
AI coding assistants like Sourcegraph Cody are reshaping how developers work—helping them write, refactor, and understand code faster than ever. But for most organizations, one question remains unanswered: Is it working?
We’re excited to announce a new integration between DX and Sourcegraph Cody, the AI coding assistant built for modern, large-scale codebases. With this integration, engineering leaders can finally measure the adoption, usage, and impact of Cody across every team and workflow.
Why this matters
Cody is gaining developer adoption because it’s designed to understand entire codebases, not just single files. By leveraging deep context, Cody delivers more accurate suggestions, helps debug and document code, and accelerates common workflows.
But adoption alone isn’t enough. The real question is whether Cody is making teams more productive and delivering business value.
“While AI assistants are becoming a daily part of developer workflows, many organizations still lack the data to measure their true impact,” said Abi Noda, CEO of DX. “Our integration with Sourcegraph Cody ensures leaders have the visibility they need to optimize AI investments and prove ROI.”
What you can do with the integration
Full visibility into adoption
DX pulls usage data directly from Sourcegraph Cody and maps it to your org hierarchy, team structure, and developer attributes such as tenure, role, and job level. This makes it easy to identify which teams are embracing Cody and where there are gaps in awareness, adoption, or support.
Measure the impact and ROI of Cody
With this integration, you can correlate Cody usage with key SDLC and productivity metrics across speed, effectiveness, quality, and security. DX also calculates AI-driven time savings, making it easier to quantify Cody’s ROI at both the team and organizational levels.
Bruno Passos, Group Product Manager for GenAI and Developer Experience at Booking.com, shared: “Using DX to quantify the impact of Sourcegraph Cody has given us confidence in the outcomes it’s driving for our developers. Not only did it confirm that Sourcegraph is helping us ship faster, but these insights are helping us refine and guide our continued rollout.”
He continued: “Using DX and Sourcegraph together has helped us answer a handful of important questions: How much time are we saving using Sourcegraph? Does using Sourcegraph impact quality? And how do AI coding assistants impact the developer experience more broadly?”
Drive targeted, data-driven enablement
Because DX already tracks AI usage and impact, it can provide before-and-after views to assess rollout and training effectiveness. Drill down by team, role, or any other attribute to understand where enablement is working, and where to focus next.
See exactly how teams use Cody
Go beyond license counts and acceptance rates. DX provides visibility into how Cody is actually being used—whether that’s code generation, debugging, refactoring, or documentation—and which use cases drive the greatest time savings. These insights help organizations tailor support and coaching to maximize the value of Cody.
Get started
This integration is part of DX’s broader vision for data-driven developer acceleration. Together with Sourcegraph Cody, we’re helping engineering organizations unlock the full potential of AI-assisted development.
The Cody integration is available today for all DX customers with Data Cloud. To learn more, reach out to your DX account manager or request a demo.