June 2025 — Key accomplishments in AOT-Technologies/forms-flow-ai-micro-front-ends focused on stabilizing and enhancing the Task Filter system, improving user display, and strengthening governance and UI polish. Deliveries include: (1) Task Filter UI Enhancements and Stability: updated save-changes flow to fetch refreshed filter lists and counts, and shown only visible filters for a cleaner UI; (2) Task Filter Logic Stability Fixes: corrected fetch behavior for saved/unsaved filters, prevented unnecessary refreshes, and resolved stale displays; (3) ReorderTaskFilterModal Refactor: SonarQube remediation and correct data fetching/dispatching with proper dependency management; (4) Assignee/User Display Improvements: robust name formatting and 'Me' handling when data is incomplete; (5) Reviewer Permissions & Journey Enhancements: permission matrix aligning actions/visibility with roles; (6) UI Polish and Maintenance: z-index tweaks and cleanup for reliability and visuals. This delivered value supports faster task filtering, reduces data inconsistency, and improves maintainability.

May 2025 achievements in AOT-Technologies/forms-flow-ai-micro-front-ends: Delivered Task Filters Management UI with ReorderTaskFilterModal, drag-and-drop sorting, persistence of preferences, and API endpoint updates; completed reviewer journey UI polish. Fixed critical UI rendering issues in ResizableTable, cleaned up code (removed unused icon variable), and implemented SonarQube-driven refactors for readability. Stabilized builds by addressing package management issues. This work enhances reviewer configurability, UX, and overall product reliability.

April 2025 performance summary focusing on key features and reliability improvements across two repositories. Delivered test coverage improvements for sorting initialization in BPMN and process tables, enhancing test reliability by mocking getResetSortOrders from @formsflow/service. Implemented the 'Assign to me' filter in the task review flow with UI accessibility refinements, standardized checkboxes, and a dynamic assigneeExpression for the current user, supported by API/data-fetch improvements and payload updates. Also performed code quality enhancements including Sonar issues resolution and comments cleanup. These changes reduce production risk, improve task processing speed, and strengthen data integrity across forms-flow AI components.