Source sync

Foundation

Connect Azure DevOps or GitHub, import commits, pull requests, work items, pipeline runs, and deployments, then keep everything current with incremental sync.

Engineering Analytics starts with a durable warehouse of your development activity. Connect once, choose the projects and repositories that matter, and import historical data without repeatedly calling provider APIs during everyday browsing.

Incremental sync keeps commits, pull requests, work items, and CI/CD history current in the background. Dashboards, reports, and AI features all read from this imported layer — so metrics stay fast, predictable, and available even when Azure DevOps or GitHub rate limits would slow live queries.

What you get

  • Azure DevOps and GitHub connections with encrypted credentials at rest
  • Historical import plus scheduled incremental synchronization
  • Commits, pull requests, work items, pipeline runs, and deployments in one place
  • Optional line-count enrichment when administrators enable deeper diff statistics
  • Import job visibility with progress, counts, and error reporting

Highlights

Selective scope

Import only the projects and repositories your organization cares about.

Incremental updates

Keep analytics fresh without hammering provider APIs on every page load.

Boards & flow

Work item history imports alongside code for end-to-end delivery visibility.

Related capabilities

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.

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.

Start using source sync in your organization

Create a free workspace, connect your sources, and explore Engineering Analytics with your team's real data.

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