You cannot mandate productivity; you must provide the tools to let people become their best.
~Steve Jobs
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Measure AI’s Impact on Engineering

Track the adoption and impact of AI coding assistants such as Cursor, GitHub Copilot, and Claude 
Code across teams and developers. Understand how they influence delivery velocity, code quality, 
and the overall developer experience.

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Trusted by 1000+ high-performing engineering teams

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Unlock the full potential of AI coding

Unlock the full potential 
of AI coding

Track AI adoption across 
teams & devs

Understand Copilot and Cursor usage patterns, remove blockers, and scale what works across teams

Measure the Impact on 
Engineering Workflows

Understand how AI-assisted coding influences delivery speed, review cycles, deployment frequency, and rework

Optimize AI Usage Based 
on Impact

Spot where Copilot and Cursor add the most value and where adoption may not be driving results. Guide usage to maximize team benefit.

Measure what matters

See how Typo helps you objectively analyse the usage and impact of your AI coding tools - across teams & developers

2x faster identification of AI-related quality regressions
50% more confident AI coding tool decisions
Reduced reliance on anecdotal feedback

Integrations That 
Work Where You Code

From Copilot to Claude — and Gemini to 
Sourcegraph — all in one platform.

Integrations That Work Where You Code

From Copilot to Claude — and Gemini to Sourcegraph — all in one platform.

Lead AI adoption in your engineering 
teams with confidence