We'll show you exactly how AI is impacting your speed and code quality.




A developer blocked for three days tells you in standup. A reviewer carrying disproportionate load mentions it in the retro. The signal was already in the data. No view surfaced it.
AI generates more code per developer per sprint. The same team reviews it at the same pace. PRs pile up, reviewers fatigue, cycle time climbs.
"How's it going?" starts most 1:1s. Whether a developer's been active, overloaded, or carrying the team's review burden never surfaces unless you dig through multiple screens before the meeting.




Connect your source control and project management tools and data starts flowing immediately. Most EMs see team activity, pipeline timing, and PR metrics within 30 minutes of connecting. The AI code review feature requires enabling the GitHub or GitLab integration separately from the Settings screen.
Yes. Every view supports team-level filtering. Scope your dashboards to your specific team and the data reflects only your team's activity, pipeline, and metrics. You won't see other teams' data unless you have org-level access.
Hivel reads Git activity (commits, PRs, review actions) that's already recorded by your source control platform. It surfaces that activity in a structured view for managers, the same way GitHub already shows it in activity logs. Transparency with your team about how you use the data is recommended.


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See exactly how AI-assisted code is impacting your delivery speed and code quality, before you commit to anything.
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