
Wilson Lau developed a full-stack Recommendation Request Management feature for the ucsb-cs156-s25/team02-s25-16 repository, delivering both backend CRUD APIs with role-based access and a frontend interface for listing, creating, and editing requests. He used Java, Spring Boot, and React to implement a clean separation of concerns, ensuring scalable architecture and maintainable code. Wilson stabilized the feature through fixture-driven UI development, robust unit and mutation testing with Jest and Stryker, and addressed quality issues in API, UI, and test code. His work improved test coverage, fixture consistency, and accelerated UI development by leveraging Storybook for component-driven workflows.
In May 2025, delivered end-to-end Recommendation Request Management for the ucsb-cs156-s25/team02-s25-16 repo, including backend CRUD API with role-based access, frontend UI (list/create/edit), routing, tests, and Storybook fixtures. Stabilized the feature with fixture-driven UI development and mutation-testing checks, and addressed UI, API, and test quality issues to improve maintainability and accelerate iteration.
In May 2025, delivered end-to-end Recommendation Request Management for the ucsb-cs156-s25/team02-s25-16 repo, including backend CRUD API with role-based access, frontend UI (list/create/edit), routing, tests, and Storybook fixtures. Stabilized the feature with fixture-driven UI development and mutation-testing checks, and addressed UI, API, and test quality issues to improve maintainability and accelerate iteration.

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