MotivationalModelling/mm-local-editor
Sep 2025 – Oct 2025
2 Months active
Languages Used
CSSJavaScriptReactTypeScript
Technical Skills
Code RefactoringContext APIFront End DevelopmentFront-end DevelopmentFrontend DevelopmentGraph Visualization
KerrYuan
PROFILE
Kerryuan
Yuanxi Yu contributed to the MotivationalModelling/mm-local-editor project by enhancing interactive graph visualization and editing workflows. Over two months, Yuanxi improved UI responsiveness and data integrity, focusing on features like synchronized goal propagation between list and tree views, robust graph ID generation, and safer deletion flows. The work involved extensive code refactoring and the introduction of utility functions for ID extraction, resulting in more maintainable and reliable graph updates. Using React, TypeScript, and Redux Toolkit, Yuanxi addressed both user experience and technical debt, demonstrating depth in state management and front-end architecture while resolving merge conflicts and improving error messaging.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
27Total
Bugs
1
Commits
27
Features
4
Lines of code
839
Activity Months2
Your Network
20 peopleSame Organization
@student.unimelb.edu.au14
Work History
October 2025
19 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for MotivationalModelling/mm-local-editor. Focused on Graph ID generation and data synchronization improvements and safer deletion workflows, delivering measurable improvements in data consistency, reliability, and UX. Key outcomes include robust cell ID generation, unified ID parsing, graph update reliability, and streamlined error messaging. Demonstrated strong refactoring, merge conflict resolution, and cross-team collaboration.
19 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for MotivationalModelling/mm-local-editor. Focused on Graph ID generation and data synchronization improvements and safer deletion workflows, delivering measurable improvements in data consistency, reliability, and UX. Key outcomes include robust cell ID generation, unified ID parsing, graph update reliability, and streamlined error messaging. Demonstrated strong refactoring, merge conflict resolution, and cross-team collaboration.
October 2025
September 2025
8 Commits • 3 Features
Sep 1, 2025This monthly period focused on delivering a cohesive UI and data-model improvements for MotivationalModelling/mm-local-editor, with an emphasis on user experience, data integrity across views, and maintainable graph visualizations. The work lays a foundation for faster feature delivery and reduced regression risk in interactive editing and visualization flows.
September 2025
8 Commits • 3 Features
Sep 1, 2025This monthly period focused on delivering a cohesive UI and data-model improvements for MotivationalModelling/mm-local-editor, with an emphasis on user experience, data integrity across views, and maintainable graph visualizations. The work lays a foundation for faster feature delivery and reduced regression risk in interactive editing and visualization flows.
Activity
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Quality Metrics
Correctness84.8%
Maintainability87.8%
Architecture77.0%
Performance82.4%
AI Usage22.2%
Skills & Technologies
Programming Languages
CSSJavaScriptReactTypeScript
Technical Skills
Code RefactoringContext APIFront End DevelopmentFront-end DevelopmentFrontend DevelopmentGraph ManipulationGraph VisualizationJavaScriptReactRedux ToolkitResponsive DesignState ManagementTypeScript
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