team-neutrino/Scouting-2025
Mar 2025 – Apr 2025
2 Months active
Languages Used
CSSHTMLJavaScriptMarkdown
Technical Skills
CSSDocumentationFront End DevelopmentHTMLJavaScriptUI/UX Development
jackattack16
PROFILE
Jackattack16
Over two months, this developer contributed to team-neutrino/Scouting-2025 by building and refining features that improved data collection, scheduling, and user experience. They implemented a qualitative data collection and rating system using HTML, CSS, and JavaScript, enabling more accurate robot performance metrics. Their work included overhauling the scheduling data model in app.js, restructuring arrays to support new configuration and user-facing capabilities. They enhanced UI consistency through CSS refactoring and improved state management with localStorage and sessionStorage. The developer also addressed bugs and updated documentation, demonstrating depth in front-end development, data modeling, and maintainable code practices across the project.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
7
Lines of code
2,742
Activity Months2
Your Network
12 peopleSame Organization
@ames.k12.ia.us6
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for team-neutrino/Scouting-2025 focusing on scheduling overhaul; highlights: delivered new data model for scheduling; major bug fix; impact and value; technologies demonstrated.
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for team-neutrino/Scouting-2025 focusing on scheduling overhaul; highlights: delivered new data model for scheduling; major bug fix; impact and value; technologies demonstrated.
April 2025
March 2025
10 Commits • 6 Features
Mar 1, 2025March 2025 – Delivered critical features and reliability improvements for team-neutrino/Scouting-2025 that enhance data-driven decision-making, autonomous safety, and developer maintainability. Key deliveries include Qualitative Data Collection and Rating System (HTML elements and JavaScript for star ratings and data loading/initialization); Auton Leave Validation Enhancement (robust leave validation to ensure the robot exits the designated area and maintains correct navigation flow); QR Code Regeneration and Reset UI Enhancements (regeneration functionality, reset confirmation, and UI transitions for loading content and resetting state); Match Number Handling Correction (ensure match number is retrieved from session storage and incremented on reset); Teams Data Structure Overhaul for Color-Coded Lists (data model refactor to support color-based representations); Documentation Update clarifying ExtraData codes (README updates to explain numeric codes); UI Styling Consolidation for Input Boxes (standardized CSS class names across auton/teleop). Technologies/skills demonstrated include HTML/JS for frontend data collection and interaction, localStorage/sessionStorage for state persistence, and CSS refactoring for UI consistency. Business value: improved measurement accuracy, safer autonomous operations, faster QA cycles, and clearer operator guidance.
March 2025
10 Commits • 6 Features
Mar 1, 2025March 2025 – Delivered critical features and reliability improvements for team-neutrino/Scouting-2025 that enhance data-driven decision-making, autonomous safety, and developer maintainability. Key deliveries include Qualitative Data Collection and Rating System (HTML elements and JavaScript for star ratings and data loading/initialization); Auton Leave Validation Enhancement (robust leave validation to ensure the robot exits the designated area and maintains correct navigation flow); QR Code Regeneration and Reset UI Enhancements (regeneration functionality, reset confirmation, and UI transitions for loading content and resetting state); Match Number Handling Correction (ensure match number is retrieved from session storage and incremented on reset); Teams Data Structure Overhaul for Color-Coded Lists (data model refactor to support color-based representations); Documentation Update clarifying ExtraData codes (README updates to explain numeric codes); UI Styling Consolidation for Input Boxes (standardized CSS class names across auton/teleop). Technologies/skills demonstrated include HTML/JS for frontend data collection and interaction, localStorage/sessionStorage for state persistence, and CSS refactoring for UI consistency. Business value: improved measurement accuracy, safer autonomous operations, faster QA cycles, and clearer operator guidance.
Activity
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Quality Metrics
Correctness83.4%
Maintainability83.4%
Architecture74.2%
Performance84.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptMarkdown
Technical Skills
CSSDocumentationFront End DevelopmentHTMLJavaScriptUI/UX DevelopmentWeb Development
Repositories Contributed To
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