Effectively build AI-integrated engineering teams
AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.

Measure adoption and impact across Copilot, Cursor, and Gemini
Gain clear visibility into how your AI tools impact team productivity – so you can confidently optimize your AI strategy and report on metrics that matter.

What customers say about AI Impact
Thanks to Jellyfish’s integration with Cursor, we now have granular adoption data and the ability to benchmark against non-Cursor users. With clear signals on where productivity gains are happening, we can take learnings from the higher-performing teams and share them across the org so everyone can benefit.

When the Jellyfish AI Impact dashboard went live, the insights it generated answered leadership’s questions, fully validating the Copilot investment.

Jellyfish gives us a picture of how Copilot is reshaping our organization.

Jellyfish AI Impact allows you to understand:

How are AI tools impacting productivity?
Measure how tools like Copilot, Cursor, Gemini, and Sourcegraph affect your teams by visualizing their impact on delivery speed, workflow efficiency, and resource allocation.
Which AI tool performs best across different roles and engineering tasks?
Analyze which teams within your org are leveraging Copilot, Cursor, Gemini, or Sourcegraph—complete with breakdowns by work type, language, and editor.


Which AI tools are driving value – and which aren’t?
Objectively see how different tools perform relative to each other and understand their contribution to the overall contribution to the software development lifecycle.