DurhamAcademy/ChocoChipScouting
Jan 2025 – Jan 2025
1 Month active
Languages Used
TypeScriptVue
Technical Skills
Frontend DevelopmentNuxt.jsVue.js
26wilber
PROFILE
26wilber
Wilber developed a granular predictions insight feature for the DurhamAcademy/ChocoChipScouting repository, focusing on enhancing the Predictions Page with a detailed score breakdown by match phase. Using TypeScript and Vue.js within a Nuxt.js frontend, Wilber refactored the UI to present per-phase scores—Auto, TeleOp, and End Game—by integrating directly with scoreMatch.ts, replacing the previous reliance on a single total score. This approach improved data accuracy, maintainability, and traceability, enabling users to make more informed scouting decisions. The work emphasized clean data flow and robust table rendering, delivering deeper analytics without introducing new bugs during the development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
163
Activity Months1
Your Network
9 peopleSame Organization
@da.org1
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered granular predictions insight for DurhamAcademy/ChocoChipScouting by adding a Predictions Page Detailed Score Breakdown by Match Phase. The UI now presents per-phase scores (Auto, TeleOp, End Game) sourced from scoreMatch.ts, replacing reliance on a single total score. This work, anchored by commit 544f165ca1263fa745afab41e1a980bdbacc09e2, enhances analytical clarity and supports data-driven scouting decisions. No major bugs were reported this month; the focus was feature delivery, code quality, and maintainability. Impact: improved user decision-making through granular analytics, better debugging and traceability of scores, and a cleaner data flow. Technologies/skills demonstrated: TypeScript, frontend UI/table rendering, integration with scoreMatch.ts, and commit-driven refactoring.
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered granular predictions insight for DurhamAcademy/ChocoChipScouting by adding a Predictions Page Detailed Score Breakdown by Match Phase. The UI now presents per-phase scores (Auto, TeleOp, End Game) sourced from scoreMatch.ts, replacing reliance on a single total score. This work, anchored by commit 544f165ca1263fa745afab41e1a980bdbacc09e2, enhances analytical clarity and supports data-driven scouting decisions. No major bugs were reported this month; the focus was feature delivery, code quality, and maintainability. Impact: improved user decision-making through granular analytics, better debugging and traceability of scores, and a cleaner data flow. Technologies/skills demonstrated: TypeScript, frontend UI/table rendering, integration with scoreMatch.ts, and commit-driven refactoring.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
TypeScriptVue
Technical Skills
Frontend DevelopmentNuxt.jsVue.js
Repositories Contributed To
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