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Full guide to setting up AI-powered code review for Bitbucket Server, Data Center, and Cloud. Navigate the Server EOL migration, choose between Cloud and Data Center, and deploy AI code review with enterprise-grade security.
On February 15, 2024, Atlassian officially ended support for Bitbucket Server. This means no more security updates, bug fixes, or feature releases. If you're still running Bitbucket Server, you're operating with increasing security risk.
Since February 2024, Atlassian has stopped releasing security patches for Bitbucket Server. Any newly discovered vulnerabilities will not be fixed. Running unpatched software in production violates most compliance frameworks (SOC 2, ISO 27001, GDPR).
Atlassian provided a 2-year migration window (announced Feb 2022, EOL Feb 2024). If you haven't migrated yet, you should prioritize this immediately. Most organizations take 3-6 months to complete a full migration from Server to Cloud or Data Center.
Atlassian offers two migration paths from Bitbucket Server. Your choice depends on control requirements, compliance needs, budget, and technical resources.
| Feature | Bitbucket Cloud | Bitbucket Data Center | Bitbucket Server |
|---|---|---|---|
| Deployment | Atlassian-hosted SaaS | Self-managed (on-premise or cloud IaaS) | Self-managed (deprecated) |
| Availability | 99.9% SLA | Custom (you manage) | EOL Feb 2024 |
| Pricing Model | Per user/month | Annual license + hosting costs | N/A (discontinued) |
| AI Code Review | ✅ Git AutoReview | ✅ Git AutoReview | ✅ Git AutoReview (until your migration) |
| Data Residency | Atlassian regions | Your infrastructure | Your infrastructure |
| Customization | Limited (no plugins) | Full (plugins, custom integrations) | Full (deprecated) |
| Compliance | SOC 2, ISO 27001 (Atlassian) | Your responsibility | Your responsibility |
Most teams should start with Bitbucket Cloud unless they have specific Data Center requirements. Cloud is faster to deploy, easier to maintain, and includes built-in disaster recovery. You can always migrate from Cloud to Data Center later if requirements change.
Detailed comparison: Bitbucket Cloud vs Data Center: Which Should You Choose? →
During a migration, your team is already under pressure. Code review bottlenecks slow down delivery. AI code review can maintain (or improve) code quality while reducing review time by 30-50%.
Here's the problem: most AI code review tools don't support Bitbucket. CodeRabbit, the most popular AI review tool, only supports GitHub and GitLab. Qodo has limited Bitbucket support. GitHub Copilot doesn't work with Bitbucket at all.
Git AutoReview was built for Bitbucket from day one. It works with Cloud, Server, and Data Center. It integrates with Jira for acceptance criteria verification, and uses human-in-the-loop approval so you control what AI publishes.
AI catches bugs, security issues, and style violations while your team focuses on migration. Quality doesn't drop during the transition.
Senior engineers can focus on migration planning while AI handles routine review feedback. Junior engineers get faster feedback without waiting for human reviewers.
Configure Git AutoReview once for Server, then update connection settings when you migrate to Cloud or Data Center. The review workflow stays the same.
BYOK (Bring Your Own Key) means your code goes directly to Anthropic, Google, or OpenAI — not stored on third-party servers. Meets SOC 2, ISO 27001, GDPR requirements.
If you're still running Bitbucket Server (pre-migration), Git AutoReview will work until you complete your migration to Cloud or Data Center.
Bitbucket Server reached end of life in February 2024. Plan your migration to Cloud or Data Center as soon as possible. Git AutoReview supports all three platforms.
Open VS Code → Extensions → Search "Git AutoReview" → Install. Requires VS Code 1.75 or later.
ext install vitalii4reva.git-autoreviewIn Bitbucket Server: User Settings → Personal Access Tokens → Create Token
Required permissions:
REPO_READ - Read repository and pull request dataREPO_WRITE - Post review comments to pull requestsOpen Git AutoReview settings in VS Code (Cmd/Ctrl + Shift + P → "Git AutoReview: Settings")
Platform: Select "Bitbucket Server"
Server URL: Enter your Server URL (e.g., https://bitbucket.yourcompany.com)
Access Token: Paste the Personal Access Token from step 2
Repository: Select or enter your repository path
Configure your API keys for Claude, Gemini, or GPT:
Or use Git AutoReview's included credits on paid plans (no separate API key needed).
In VS Code Git AutoReview panel:
Bitbucket Server often runs behind corporate firewalls. Ensure VS Code can reach: (1) Your Bitbucket Server URL (internal network), and (2) AI provider APIs (external: api.anthropic.com, generativelanguage.googleapis.com, api.openai.com). Whitelist these domains in your firewall if needed.
Bitbucket Data Center is Atlassian's self-managed enterprise solution. Git AutoReview supports Data Center deployments, including clustered configurations and custom authentication.
The setup process for Data Center is nearly identical to Server (see above). The key differences:
Use your Data Center load balancer URL (not individual node URLs):
https://bitbucket-dc.yourcompany.comGit AutoReview will connect through your load balancer, which distributes requests across Data Center nodes. This ensures high availability.
If your Data Center uses SSO (SAML, OAuth) or LDAP, use Personal Access Tokens instead of password authentication:
Personal Access Tokens work with all authentication methods.
If your Data Center is only accessible via VPN or proxy:
Bitbucket Cloud is Atlassian's SaaS offering. Setup is simpler than Server/Data Center because there's no network configuration needed.
VS Code → Extensions → Search "Git AutoReview" → Install
Git AutoReview Settings → Platform → Select "Bitbucket Cloud"
You'll be prompted to authenticate with your Atlassian account via OAuth. This is simpler than Personal Access Tokens and grants appropriate permissions automatically.
After authentication, select your Bitbucket Cloud workspace and repository from the dropdown.
Add your API keys for Claude, Gemini, or GPT — or use included credits on Team/Enterprise plans.
Select a pull request → Review with AI → Approve suggestions → Publish to Bitbucket
Unlike Server/Data Center, Bitbucket Cloud requires no firewall rules, VPN setup, or proxy configuration. It's publicly accessible and works from any network.
Optimize your Git AutoReview configuration for enterprise use.
Bring Your Own Key (BYOK) means using your own API keys from Anthropic, Google, or OpenAI. Benefits:
Different models excel at different tasks:
Pro tip: Run multiple models in parallel and compare results. Git AutoReview shows side-by-side comparisons so you can approve the best suggestions from each model.
Tailor what AI reviews:
Establish team-wide standards for using AI review:
Enterprise teams must evaluate AI code review against compliance frameworks and security policies.
With BYOK (Bring Your Own Key), your code is sent directly to your AI provider:
Git AutoReview does not store, log, or train on your code. It passes code directly from VS Code to your AI provider and back.
For Bitbucket Server/Data Center deployments, whitelist these outbound HTTPS endpoints:
api.anthropic.com (Anthropic/Claude)
generativelanguage.googleapis.com (Google AI/Gemini)
api.openai.com (OpenAI/GPT)
No inbound connections required. Git AutoReview only makes outbound calls. Your Bitbucket instance doesn't need to be publicly accessible.
Git AutoReview supports common enterprise compliance requirements:
Some organizations prohibit sending code to third-party AI providers. Check with your security/compliance team before deploying AI code review. Self-hosted AI support (running LLMs on your infrastructure) is on Git AutoReview's 2026 roadmap.
When you migrate from Bitbucket Server to Cloud or Data Center, your code review process will change. Here's how to integrate AI review into your new workflow.
If you're doing a phased migration (some repos on Server, some on Cloud/DC):
Set up a pilot repository on Cloud or Data Center before migrating your entire organization. Test the AI review workflow on the new platform with a small team. Identify any issues before committing to full migration.
Use this checklist to ensure a successful Git AutoReview deployment for Bitbucket.
Install Git AutoReview free from the VS Code Marketplace. Full support for Bitbucket Cloud, Server, and Data Center. Human-in-the-loop approval, multi-model AI, and BYOK on all plans.