
During January 2026, Linsiwei Fuzhou contributed to the quanwangniuniu/mediaJira repository by delivering end-to-end timeline and long story integration, enabling timeline-driven workflows and improved task management. Linsiwei implemented backend support for draggable tasks and refreshed the UI using React and TypeScript, while also expanding test coverage and restoring Nginx configuration to enhance reliability. The work included redesigning the Task Page UI, adding a full ad variation function, and introducing features like Monitoring Alert Task and TeamMember management. By combining API development, frontend engineering, and robust testing, Linsiwei addressed both feature expansion and stability, demonstrating depth across the stack.
January 2026 (2026-01) — Monthly summary for quanwangniuniu/mediaJira. Delivered major Timeline integration with Timeline and Long stories (P5T-Pro timeline), backend support for draggable tasks with a refreshed UI, and expanded P5T-Pro features. Strengthened QA with targeted tests and improved reliability through Nginx configuration restoration and fixes for initial project creation. Implemented BGF-12 TeamMember in Project, Monitoring Alert Task, and Task Page UI redesign; added full ad variation function for MediaJira. These changes deliver tangible business value by enabling faster timeline-driven workflows, improved task management, and more robust release readiness.
January 2026 (2026-01) — Monthly summary for quanwangniuniu/mediaJira. Delivered major Timeline integration with Timeline and Long stories (P5T-Pro timeline), backend support for draggable tasks with a refreshed UI, and expanded P5T-Pro features. Strengthened QA with targeted tests and improved reliability through Nginx configuration restoration and fixes for initial project creation. Implemented BGF-12 TeamMember in Project, Monitoring Alert Task, and Task Page UI redesign; added full ad variation function for MediaJira. These changes deliver tangible business value by enabling faster timeline-driven workflows, improved task management, and more robust release readiness.

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