DurhamAcademy/ChocoChipScouting
Jan 2025 – Jan 2025
1 Month active
Languages Used
TypeScriptVue
Technical Skills
Frontend DevelopmentNuxt.jsVue.js
26wilber
PROFILE
26wilber
Worked on DurhamAcademy/ChocoChipScouting to deliver a Predictions Page feature that presents a detailed score breakdown by match phase, replacing the previous single total score display. Leveraging TypeScript and Vue.js within a Nuxt.js frontend, the implementation integrated directly with scoreMatch.ts to source per-phase scores for Auto, TeleOp, and End Game. This approach improved data accuracy, maintainability, and traceability by tightening the data flow and refactoring the UI to render a breakdown table. The result enabled users to make more informed scouting decisions through granular analytics, while also supporting easier debugging and performance diagnosis without introducing new bugs during the 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
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