The redesigned AI Predictability model improves accuracy and transparency, allowing for better understanding of engineering performance.
Users can generate insights, see predictions, and receive personalized recommendations with the new AI features.
Groups now replace Projects as the default view, offering more flexibility for organizing work.
Persistent team filters and dynamic project redefinitions enhance usability across the platform.
Waydev integrates new GitHub Copilot metrics and develops a Waydev MCP for insights in compatible tools.
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We’ve redesigned AI Predictability from the ground up. The new model brings higher accuracy, greater transparency, and a better understanding of how your engineering performance evolves in real time.
With this update, you can:
Choose any insight or graph in the platform
Click the AI button
See predictions for Expected vs. Actual AVG
Review personalized recommendations to reach the expected target
Deploy a Target Agent to track progress automatically
A More Flexible Way to Organize Work
We’re also rethinking how organizations structure data inside Waydev. From now on, Groups replace Projects as the default view. When creating a Group, you can define it as an Initiative, Workspace, or Project — depending on how your teams operate.
This shift lets you align Waydev with the way your organization actually works, whether you’re managing cross-functional initiatives or large-scale workspaces. You can even edit an existing Project and redefine it as a Group, Initiative, or Workspace at any time.
A Few More Upgrades
Team filters now stay persistent across pages
Projects can be redefined dynamically into different group types
We’re integrating GitHub Copilot’s new metrics from GitHub Universe into the Waydev AI Adoption module
A new Waydev MCP is in development to deliver insights directly inside Claude, Cursor, and other MCP-compatible tools
