Measure the productivity impact of GitHub Copilot

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 GenAI coding tools

Swarmia allows you to measure engineers’ adoption of and satisfaction with AI coding tools — all without making dangerous comparisons between AI-assisted and non-AI-assisted work.

Swarmia gives us quantitative information about how our teams are doing, but without adding any friction.

Pau Revilla

CTO at Factorial

Find different ways to slice and dice GenAI data

Whether your 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, Cursor, or Windsurf? 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.

Join the waitlist to hear when we release AI impact metrics for Cursor and Windsurf

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