[integration]
AI code review for Bitbucket Data Center, with no forced SCM migration.
Autometric supports the self-hosted SCMs enterprises actually still run. Bitbucket Data Center gets the same best-in-class review engine and compliance model as the rest of the platform.
[github]
GitHub
Same best-in-class review engine. Native platform rendering. No compliance-only fallback mode.
[gitlab]
GitLab
Same best-in-class review engine. Native platform rendering. No compliance-only fallback mode.
[gerrit]
Gerrit
Same best-in-class review engine. Native platform rendering. No compliance-only fallback mode.
[perforce]
Perforce
Same best-in-class review engine. Native platform rendering. No compliance-only fallback mode.
Real enterprise fit
Support self-hosted review surfaces without treating them as legacy exceptions.
Review depth preserved
The full reviewer stack still evaluates logic, security, performance, style, and compliance.
Governed rollout
Repository scope, audit history, and deployment choices stay aligned with stricter enterprise requirements.
[best-in-class review]
The full review engine runs here too.
Bitbucket Data Center often sits in the exact teams that care most about review discipline. Autometric brings strong review quality there instead of assuming the future is GitHub-only.
[task context + governance]
Intent and evidence stay attached across the estate.
Teams choose Bitbucket Data Center for governance and operational reasons. The review platform has to respect those realities while still modernizing review quality. Linked tickets from connected task systems can still shape review expectations without changing where the review lands.
[compare callout]
Why this integration matters.
Most AI code review tools tell teams to move to a modern Git surface. Autometric meets the enterprise where the code already lives.
[cta]