GenAI Impact Analysis by CodeTogether

You're investing in GenAI. Time to maximize the impact.

Whether your software development team is using GenAI heavily or just beginning to integrate it,
CodeTogether's GenAI impact analysis unlocks the full potential of AI in your development workflow.

With CodeTogether, find out how GenAI is impacting your team's productivity

Is your team resolving issues faster using GenAI?

See the scope of issues resolved with GenAI assistance, and compare that to manual baselines. Along with cycle time, use these insights to pinpoint bottlenecks and success stories.

Is GenAI accelerating developer flow, or generating more churn?

CodeTogether's unique metrics like "Time to Flow Start" and "In-Task Churn" reveal whether AI helps engineers get into flow faster and produce quality output, or if AI is just generating extra, unused code.

Which GenAI tools are your teams using most?

View your team's adoption across multiple GenAI tools. Know where your investments in AI are paying off, and where to prioritize support or expansion.

Is GenAI being used heavily across your teams?

Understand usage rates for GenAI tools across your teams, projects, and work types. See your adoption trends, identify heavy and light users, and benchmark usage beyond simple "enabled" metrics.

What are the top GenAI use cases for your teams?

See which workflows (autocomplete, large code blocks, test writing, etc.) are being supercharged by GenAI. Identify top use cases so you can double down on high-value scenarios.

How is GenAI affecting your core productivity and business KPIs?

Track the impact of GenAI usage on cycle time, PR acceptance rates, review times, and overall productivity. Identify where GenAI is a true accelerator, or where it may be a distraction.

Is GenAI causing a lot of rewriting or discarded code?

In-task churn can tell you when developers spend significant time rewriting or discarding code within the same task. By tracking in-task churn, you can identify where AI is helping versus hurting, where rework is dragging delivery, and where coaching or better task framing is needed to reduce wasted effort.

Which projects are seeing the greatest GenAI gains?

Drill down by project, team, or business area. Find where GenAI is transforming delivery, and highlight areas for improvement or expansion.

Why GenAI is hard to use right

It’s not whether developers use GenAI – it's how.
Adoption alone doesn’t drive impact. The details of usage matter.

360° Impact Analysis

CodeTogether helps fill in the gaps of your GenAI and Copilot metrics, giving you a full picture of GenAI's impact across your teams and projects.

Feature CodeTogether Copilot Jellyfish Faros
Business Impact
Per Team/Project ROI
PR Acceptance
Developer Adoption
Audit Evidence
GenAI Tool Breakdown
In-Task Developer Impact
Developer Satisfaction
Executive Reporting

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"Within the first months of implementation, we are already seeing a substantial increase in the productivity of our software engineers with CodeTogether’s platform."

- CTO