Velo — AI-Powered Engineering Intelligence for Azure DevOps

Measure what matters. Ship with confidence.

Velo is the only Azure DevOps extension that computes all five 2026 DORA metrics natively — no third-party tools, no data exports, no context switching. Just install, connect your pipelines, and start improving.

Why Velo?

Engineering teams using Azure DevOps lack a unified view of delivery performance. Velo solves this by turning your existing pipeline, PR, and work-item data into actionable intelligence — directly inside Azure DevOps.

Features

📊 Full DORA Metrics Dashboard

Track all five industry-standard DORA metrics with automatic Elite / High / Medium / Low ratings:

• Deployment Frequency — How often your team ships to production
• Lead Time for Changes — Time from first commit to production deployment
• Change Failure Rate — Percentage of deployments causing rollbacks or hotfixes
• Mean Time to Restore (MTTR) — How fast you recover from failures
• Rework Rate (2026 addition) — Percentage of deployments followed by rework within 48 hours

Metrics are computed hourly from your real pipeline data — zero manual input required.

🤖 Foundry AI Agent

Ask natural-language questions about your pipelines and get structured optimization recommendations:

• "Why is the deploy stage slow in my release pipeline?"
• "Which pipelines have the highest failure rate this sprint?"
• "How can I reduce lead time for the payments service?"

The agent analyzes your YAML definitions, build history, stage timing, PR metrics, and test stability to give you actionable answers — not generic advice.

📈 Dashboard Widget

Add a compact DORA metrics tile to any Azure DevOps dashboard for at-a-glance visibility. Supports 1×2 and 2×2 sizes.

⚡ Pipeline Task (Velo@1)

Add the Velo@1 task to any YAML pipeline to explicitly tag deployments. This improves deployment detection accuracy beyond the default stage-name heuristics.

steps:
  - task: Velo@1
    displayName: 'Report deployment to Velo'

🏥 Team Health Insights

Beyond DORA, Velo tracks operational health signals:

• Cycle time breakdown — Coding → Review → Merge → Deploy
• PR quality — Average size, comment density, approval rate
• Test health — Pass rate and flaky test trends
• Deployment risk score — A 0–1 composite risk indicator

How It Works

1. Install the extension from the Visual Studio Marketplace
2. Connect — Velo automatically ingests data from your pipelines, pull requests, and work items via Azure DevOps service hooks
3. View — Open the Velo hub in any project to see your DORA metrics, team health, and AI insights
4. Improve — Use the Foundry AI agent to get pipeline-specific optimization recommendations

No agents to install. No infrastructure to manage. Works with your existing Azure Pipelines — YAML and Classic.

Deployment Detection

Velo automatically identifies production deployments using:

• Stage name patterns — deploy, release, prod, production, publish (case-insensitive)
• Explicit tagging — Add the Velo@1 pipeline task for precise control

Security & Privacy

• Multi-tenant by design — Every query is scoped to your organization. Row-level security is enforced at both application and database layers.
• No secrets stored in code — All credentials use Azure Managed Identity and Key Vault.
• Data stays in your Azure tenant — Velo runs on Azure Container Apps and Azure SQL in your region.
• Scopes requested — vso.build (read pipelines), vso.code (read PRs), vso.work (read work items). No write access required.

Getting Started

1. Install the extension from the Visual Studio Marketplace
2. Navigate to your Azure DevOps project → Velo (appears in the project hub)
3. Your DORA metrics begin populating within one hour of the first pipeline run

Requirements

• Azure DevOps Services (cloud) — any plan
• Pipelines with at least one production deployment stage

Support & Feedback

• 🐛 Report an issue
• 💡 Request a feature
• 📖 Documentation

License

Velo is open-source under the MIT License.