Engineering productivity
Understand how engineering work moves without reducing teams to activity counts.
Source control
Connect code changes, reviews, releases, and contributors to the product work they deliver.
Connect Bitbucket Cloud with FeatureFactory to bring source-control workflows into product, delivery, and customer decisions.
Why connect it
Understand how engineering work moves without reducing teams to activity counts.
Find the delays between an idea, implementation, review, release, and customer value.
Keep planned work, shipped changes, and business priorities connected.
Popular workflows
Use Bitbucket Cloud context alongside FeatureFactory’s delivery, product, and customer intelligence instead of analyzing another isolated activity feed.
How the integration works
Data into FeatureFactory
How updates arrive
Data back to Bitbucket Cloud
This integration does not currently send updates back to Bitbucket Cloud.
Questions
A ready-made integration available to launch partners.
The ready-made integration synchronizes Project, Repository, Pull Request, Commit, Review, Build, Deployment.
Updates arrive through provider webhooks when available, with scheduled checks to catch anything missed. Supported paths include Webhook, Incremental, Full, Backfill, Reconcile.
This integration currently brings data into FeatureFactory. Your Bitbucket Cloud records stay current and available for insights; updates back to Bitbucket Cloud depend on supported actions.
Connect Azure DevOps with FeatureFactory to bring source-control workflows into product, delivery, and customer decisions.
Sync repositories, pull requests, commits, reviews, releases, and deployments.
Connect GitLab with FeatureFactory to bring source-control workflows into product, delivery, and customer decisions.
Derive Claude Code usage from commit trailers already synced from GitHub - no API key required.
Connect ClickUp with FeatureFactory to bring planning and work-management workflows into product, delivery, and customer decisions.
Sync Cursor team-level usage metrics: active users, accepted lines, requests, and model breakdown by day.