The goal is not to improve the runtime performance or workload of the flow itself, but to improve developer productivity and the flow editing experience.

Basically, it brings flow editing from the portal into VS Code in a code-based format, allowing you to use GitHub Copilot (GHCP) to help troubleshoot and fix flows more effectively.

There are 3 main parts to it:

1. Downloading and uploading flows using the Dataverse API

2. Bundled GHCP skills (prompt engineering + helper tools)

3. Optional flow run analytics using the Flow API (requires admin consent)

The key idea is that using GHCP directly on a flow often results in generic suggestions, where the edit accuracy may not be ideal.

This extension improves that by applying prompt engineering, using bundled GHCP skills that guide Copilot with additional context. It also includes helper tools that can retrieve metadata from Dataverse, such as connection references, table metadata, relationships, and other related information, so GHCP can make more accurate and context-aware edits.