Engineering Analytics
Turn commits, pull requests, work items, pipelines, deployments, and IDE AI usage into leadership-ready dashboards, AI insights, and scheduled reports — fast, always available, and without hammering your Azure or GitHub APIs.
Everything you need to measure engineering activity
Import once, analyze continuously, and share results with executives and engineering leaders.
Source sync
Connect Azure DevOps or GitHub, import commits, pull requests, work items, pipeline runs, and deployments, then keep everything current with incremental sync.
Leadership dashboards
Executive, engineering, repository, team, vendor, pull request, work item flow, pipeline, and deployment views with trends, KPIs, and activity heatmaps.
CI/CD & delivery
Azure DevOps Pipelines, GitHub Actions, and release deployments in one place — success rates, duration trends, deployment frequency, and delivery gaps from imported history.
Cursor & external AI
Sync Cursor team usage via Admin API or CSV, roll up spend and activity by developer and team, and correlate IDE AI with commits — separate from platform AI credits.
AI assistant
Ask natural-language questions about contribution, PR health, delivery flow, pipeline reliability, Cursor usage, and team comparisons — grounded in imported analytics.
Reports & exports
Generate executive, team, repository, vendor, pull request, pipeline, and deployment exports in HTML, CSV, Excel, or PDF — on demand or on a schedule.
Built for multi-tenant engineering organizations
- Organization-scoped tenants with role-based access for administrators and viewers.
- Developer and team mapping with effective dates so historical activity attributes correctly.
- Azure DevOps Pipelines, GitHub Actions, and release deployments imported alongside code and work items.
- Optional Cursor team sync for IDE AI spend and activity, tracked separately from platform AI credits.
- Fast, predictable analytics that stay responsive without hammering your Azure or GitHub APIs.
Create an organization, connect Azure DevOps or GitHub, optionally link Cursor, and start measuring engineering activity in minutes.
Create your workspace