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title: "Flow release: May 28, 2026"
canonical: "https://support.appfire.com/space/FD/3309961670/Flow%20release%3A%20May%2028%2C%202026"
format: markdown
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> Macro (aura-html)

**Release date**: 5/28/2026

This page outlines the updates included in the latest release of Appfire Flow.

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# New features

## New AI activity dashboard: AI Impact

Measure the tangible value of your AI investments with our new **[AI Impact](https://appfire.atlassian.net/wiki/spaces/FD/pages/3073835174)**[ dashboard](https://appfire.atlassian.net/wiki/spaces/FD/pages/3073835174). This release brings a consolidated view of engineering metrics—including PRs completed, time to merge, cycle time, tickets completed, and backflow rate—segmented directly by AI-assisted versus standard workflows. Now, you can easily track performance trends across tools like Copilot, Cursor, Claude, and Windsurf to see exactly where AI is accelerating your delivery pipeline.

> Macro (excerpt)
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> Windsurf integration
> 
> We’ve expanded our AI tracking capabilities with full support for [Windsurf](https://appfire.atlassian.net/wiki/spaces/FD/pages/3319660776). You can now connect your organization’s Windsurf instances to Flow to automatically capture agentic coding activity. This integration feeds directly into your [AI Activity dashboard](https://appfire.atlassian.net/wiki/spaces/FD/pages/3319631956), allowing you to measure how Windsurf’s contextual coding assistance accelerates your development cycles, reduces time-to-merge, and affects overall code quality alongside your other developer tools.

# Enhancements

## User merge

We’ve redesigned the [User Merge](https://appfire.atlassian.net/wiki/spaces/FD/pages/1802404067) page to provide a cleaner, more intuitive experience—now with full dark mode support.

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## Partial release

[closed beta] 

We are excited to introduce the [Flow Data Connector for Jira](https://appfire.atlassian.net/wiki/spaces/FD/pages/3300130834) DC to partially enhance your Flow experience. This change is currently being tested with a select group of users to gather feedback and ensure the best possible user experience. This means some users will see the new feature while others will continue with the existing experience.

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