Measure the impact of AI in your engineering organization

Combine developer experience surveys, data from multiple AI assistants, and proven engineering metrics to understand the real impact of AI.

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A better way to understand the impact of AI coding tools

When it comes to measuring AI’s influence on your software organization, there’s no one metric to rule them all. Instead, Swarmia allows you to evaluate AI impact through multiple different lenses.

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

Take a systematic approach to driving AI adoption and impact

Follow our four-step framework for making the most of your engineering organization’s AI investment.

Experiment with different AI tools and use cases

AI coding tools are evolving fast, and that’s why the first step on your AI journey should be all about experimentation.

Before you set any KPIs or targets, give your software engineers the ability to try out different tools, from Cursor to GitHub Copilot, Claude Code, and more. Then, run developer experience surveys focused on AI to understand adoption, use cases, and bottlenecks.

Drive adoption in teams and across the organization

Use the AI adoption data in Swarmia to identify power users and use cases, so that you can scale what’s working and stop doing what isn’t.

You can also use Swarmia to compare AI assistants side by side to better understand whether and how different teams are using different tools.

Optimize for impact

Examine AI-assisted work across existing Swarmia views to understand the organization-level impact AI coding tools have on key metrics like cycle time, throughput, and quality.

Swarmia also automatically connects relevant survey answers with system metrics, so you can quickly jump from the “what” to the “why.”

Optimize for cost

You can already use Swarmia to find unused AI assistant licenses and cut unnecessary costs that way.

As most AI assistants are moving to more unpredictable, usage-based pricing, you’ll soon also be able to get a centralized view of your AI spend in Swarmia, which will help you invest in the tools with the highest returns.

Start measuring the impact of AI coding tools today

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Measuring the productivity impact of AI coding tools: A practical guide for engineering leaders

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