Power Automate Versioning and Source Control - Export Tag Track

Description and use

Power Automate lacks built‑in version control for individual flows. Export flow definitions to Git via Dataverse Git integration or pac CLI to gain full source control, diffing, tagging, and PR reviews.

Problem

Power Automate lacks built‑in version control for individual flows, making it hard to track changes, compare versions, and govern at scale.

Outcome

Flows become first‑class code artifacts in git, enabling granular versioning, diffing, tagging, and PR reviews, which improves governance and reduces production breakage.

Workflow

• Export solution as ZIP via pac CLI or Dataverse Git integration
• Unpack ZIP to individual component files (flows become JSON files in Workflows/ folder)
• Commit changes to git with meaningful messages
• Tag releases to match solution version
• Create pull requests for flow changes
• Merge PRs and deploy from git to test/production via pipelines

Evidence

Power Automate has no built‑in version control for individual flows. Export flow definitions to git using Dataverse Git integration (Azure DevOps) or pac CLI (any git host).

Source

From the maker portal (or via API), commit changes to the connected git repo. Each component gets its own file. Flows land as individual JSON definitions.

Source

The key commands: pac solution export, pac solution unpack, pac solution pack, pac solution create-settings.

Source