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Measure the adoption and usage of GitHub Copilot & Cursor

Combine developer experience surveys, adoption metrics, and usage patterns to understand how GenAI coding tools play into your software organization’s productivity.
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A better way to understand the impact of AI coding tools

Swarmia allows you to measure engineers’ adoption of and satisfaction with AI coding tools — all without making naive comparisons between AI-assisted and non-AI-assisted work.
I want to track any productivity increases that we might be able to attribute back to AI. I know that’s tricky to do but I see Swarmia as a key component in solving this challenge.
Egan Royal
SVP of Engineering at Engine

Find different ways to slice and dice AI data

Whether you're interested in seeing how fast AI-assisted pull requests move through the system or want to hear directly from your engineers, Swarmia has the data you need.

Measure AI adoption in your teams

How many of your software engineers are actively using GitHub Copilot or Cursor? Is the adoption increasing or has it stagnated?

Swarmia allows you to understand and track changes in GenAI adoption and use.

Ask engineers direct questions about their use of AI

Run developer experience surveys in Swarmia to find out how software engineers feel about the AI tools they’re using.

Use our ready-made questions to measure developers’ satisfaction with AI tools or add your custom questions to drill into specific use cases.

Keep track of GenAI
use cases

What percentage of AI suggestions are accepted? Is there a difference between different languages?

Swarmia makes it easy to understand the most powerful use cases for AI in your organization so you can spread the knowledge across teams.
Start measuring the adoption of GitHub Copilot and Cursor today
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