MotivationalModelling/mm-local-editor
Sep 2025 – Jan 2026
5 Months active
Languages Used
CSSJavaScriptReactTypeScriptYAML
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
37Total
Bugs
2
Commits
37
Features
8
Lines of code
1,058
Activity Months5
Your Network
20 peopleSame Organization
@student.unimelb.edu.au14
Work History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for MotivationalModelling/mm-local-editor: Delivered a core graph rendering feature with emphasis on consistency and flexibility of node geometry. Preserved original proportions for STAKEHOLDER and CROWD symbols, reducing rendering distortions. Refactored node geometry logic to support text-adjustable types for more accurate and flexible graph layouts, enabling better data-to-visual representations and streamlined analyst workflows.
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for MotivationalModelling/mm-local-editor: Delivered a core graph rendering feature with emphasis on consistency and flexibility of node geometry. Preserved original proportions for STAKEHOLDER and CROWD symbols, reducing rendering distortions. Refactored node geometry logic to support text-adjustable types for more accurate and flexible graph layouts, enabling better data-to-visual representations and streamlined analyst workflows.
January 2026
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025: Focused on enhancing labeling accuracy and test coverage in MotivationalModelling/mm-local-editor. Major bugs fixed: none reported. Key work centered on improving the makeLabelForGoalType labeling logic, refactoring for maintainability, and expanding unit tests to cover edge cases (undefined types and empty arrays).
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025: Focused on enhancing labeling accuracy and test coverage in MotivationalModelling/mm-local-editor. Major bugs fixed: none reported. Key work centered on improving the makeLabelForGoalType labeling logic, refactoring for maintainability, and expanding unit tests to cover edge cases (undefined types and empty arrays).
November 2025
5 Commits • 2 Features
Nov 1, 2025Month: 2025-11 — Summary for MotivationalModelling/mm-local-editor highlighting key features delivered, major bugs fixed, and overall impact. Focused on stabilizing data handling, improving visualization for stakeholders, and modernizing deployment tooling to support safer data operations and faster releases.
5 Commits • 2 Features
Nov 1, 2025Month: 2025-11 — Summary for MotivationalModelling/mm-local-editor highlighting key features delivered, major bugs fixed, and overall impact. Focused on stabilizing data handling, improving visualization for stakeholders, and modernizing deployment tooling to support safer data operations and faster releases.
November 2025
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.
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.
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.
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
Activity
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Quality Metrics
Correctness86.2%
Maintainability87.8%
Architecture79.4%
Performance83.8%
AI Usage22.2%
Skills & Technologies
Programming Languages
CSSJavaScriptReactTypeScriptYAML
Technical Skills
CI/CDCode RefactoringContext APIFront End DevelopmentFront-end DevelopmentFrontend DevelopmentGitHub ActionsGraph ManipulationGraph VisualizationJavaScriptReactRedux ToolkitResponsive DesignState ManagementTypeScript
Repositories Contributed To
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