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Learn how Atlassian engineers used Rovo Dev and AI-driven workflows to safely refactor a large frontend monorepo, removing feature flags and dead code at scale.

This page documents a practical, end-to-end approach for using AI (primarily Rovo Dev, but can be migrated to other AI agents) to identify and remove new Navigation (Nav4) feature gates (FG) and mocks across the monorepo of Atlassian Frontend. I will share the experience using AI to enhance cleanup and the lessons learned.


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