Gitlab

Sync Revo with your GitLab for code repositories, issue tracking, and DevOps workflows.

What It Is

Revo connects to your GitLab account to read repositories, merge requests, issues, pipelines, and commit history, then transforms your code and development workflow into searchable, structured intelligence that powers engineering decisions.

What It Unlocks

Search your entire GitLab workspace using natural language across all repositories, merge requests, issues, commits, pipelines, and code comments
Auto-sync development data with Revo's intelligence modules, feature branches, deployment status, code review activity, and CI/CD pipeline results
Cross-reference GitLab data with Jira issues, Slack discussions, meetings, product roadmaps, and incident reports
Auto-generate insights from code activity, track velocity trends, surface deployment risks, and connect code changes to customer impact

How to Use It for Emails

When drafting email replies, Revo automatically pulls relevant GitLab context:

"What's the status of Feature X?"
- → Revo checks GitLab for related merge requests, branch status, pipeline results, and linked issues
"Why did the deployment fail?"
- → Revo analyzes pipeline logs, identifies failed jobs, and surfaces recent commits that may have caused issues
Includes source links to GitLab merge requests, commits, and pipelines so recipients can see full technical details

Result: Emails grounded in actual development status, no more "I think it's merged" or waiting for engineering to check.

How to Use It from Chat

Ask questions directly in Revo:

"What merge requests are pending review?"
"Show me all failed pipelines from yesterday"
"What commits were deployed in the last release?"

Revo searches across GitLab repositories and activity, delivering answers with MR links, commit hashes, and pipeline status.

How to Use It in Workflows

Trigger workflows FROM GitLab:

Merge request approved and merged
- → Extract feature details from description
- → Find linked Jira issue
- → Update issue status to "Done"
- → Post deployment confirmation to #engineering
- → "Feature Y merged and deployed to staging"
Pipeline fails on main branch
- → Pull error logs and recent commits
- → Identify committer
- → Create P0 incident issue
- → Notify #engineering and committer
- → "Production pipeline broken, last commit by User X, investigate immediately"
Issue closed with linked MR
- → Extract changelog details
- → Update Product Intelligence module
- → Generate release notes entry
- → Notify #product
- → "Bug fix for login timeout shipped in v2.4.1"

Update GitLab FROM other sources:

Jira issue moves to "In Progress"
- → Create feature branch in GitLab
- → Link branch to issue
- → Notify assigned engineer
- → "Branch feature/issue-123 created and ready"
Meeting action item: "Fix API bug"
- → Create GitLab issue with meeting context
- → Assign owner
- → Link to meeting transcript
- → Post to #engineering

Generate insights FROM GitLab:

Weekly engineering summary
- → Query merged MRs, deployment frequency, pipeline success rate
- → Post to #engineering
- → "24 MRs merged, 5 deployments, 92% pipeline success rate"
Code review bottleneck analysis
- → Identify MRs waiting 3+ days for review
- → Surface reviewers with highest load
- → Notify team leads
- → "8 MRs blocked in review, User X has 5 pending reviews"

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