GitLog AI
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Engineering
Alignment.

Bridge the gap between raw commits and business value. GitLog AI automates the "translation" of engineering work into human-ready progress reports.

Developer time is expensive. Spending those hours writing status updates for product managers or stakeholders is a drain on project velocity. GitLog AI ensures that every branch merge is documented without pulling a single dev off-task.

Enterprise Scenarios

Human Scenario: The Stakeholder Sync

Perfect for technical program managers who need high-level summaries without touching the CLI.

1

Filter: Filter repositories by department or project team inside the GitLog dashboard.

2

Export: Copy the AI-summarized changelog directly into Slack, MS Teams, or a Confluence page.

Automation Scenario: Jira Integration

Automatically update Jira tickets when a version is generated via CLI.

gitlog generate --to HEAD --jira-sync --token $JIRA_API_KEY

Machine Scenario: The AI Architect

Internal AI managers use the MCP server to verify if security patches were applied across all microservices.

"Check all services in the 'payment-gateway' cluster. Have they all been updated with the CVE-2026-X patch according to their changelogs?"

On-Premise Deployment

For teams with strict data residency requirements, GitLog AI can be deployed behind your VPC.

# Deploy to local cluster

helm install gitlog-ai ./charts/gitlog --set license=$LICENSE_KEY

Reclaim Engineering Hours

Focus on building, not documenting. Let GitLog AI align your team automatically.

Get Started