code-dot-org/code-dot-org
Apr 2025 – Oct 2025
7 Months active
Languages Used
CSSGherkinJavaScriptReactRubySCSSSQLTypeScript
Technical Skills
API DevelopmentAPI IntegrationAWS S3AnalyticsBackend DevelopmentBehavior Driven Development
Kaitie O
PROFILE
Kaitie O
Kaitie developed and enhanced AI-driven evaluation and personalization features for the code-dot-org/code-dot-org repository over seven months. She engineered end-to-end systems for AI-powered feedback, skill-based assessment, and user personalization, integrating backend APIs with React and Ruby on Rails to streamline data flows and automate analysis. Her work included building robust data models, refining Redux state management, and implementing database migrations to support scalable, individualized learning experiences. By focusing on both backend reliability and frontend usability, Kaitie delivered features that improved assessment accuracy, educator workflows, and data-driven personalization, demonstrating depth in full stack development, AI/ML integration, and UI/UX refinement.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
47Total
Bugs
3
Commits
47
Features
14
Lines of code
6,484
Activity Months7
Your Network
67 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for code-dot-org/code-dot-org: Delivered AI-Powered Teaching Profile Personalization, integrating AI-driven analysis to map user inputs to the most suitable teaching profile. Implemented a new API endpoint to call the AI model and updated the UI to display the matched teaching profile, enabling more personalized learning experiences. No major bugs fixed this month; focus on end-to-end feature delivery and system integration.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for code-dot-org/code-dot-org: Delivered AI-Powered Teaching Profile Personalization, integrating AI-driven analysis to map user inputs to the most suitable teaching profile. Implemented a new API endpoint to call the AI model and updated the UI to display the matched teaching profile, enabling more personalized learning experiences. No major bugs fixed this month; focus on end-to-end feature delivery and system integration.
October 2025
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for code-dot-org/code-dot-org. Delivered end-to-end User Personalization in Teaching Profile and groundwork for Teacher Dashboard communications, with strong backend integration and UI polish. Key achievements delivered across UI, API, and build tooling; significant reliability improvements for personalization data persistence and feature entrypoints. This work enables data-driven teaching, targeted student support, and streamlined parent communications, and sets the stage for analytics and continued personalization improvements.
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for code-dot-org/code-dot-org. Delivered end-to-end User Personalization in Teaching Profile and groundwork for Teacher Dashboard communications, with strong backend integration and UI polish. Key achievements delivered across UI, API, and build tooling; significant reliability improvements for personalization data persistence and feature entrypoints. This work enables data-driven teaching, targeted student support, and streamlined parent communications, and sets the stage for analytics and continued personalization improvements.
August 2025
3 Commits • 2 Features
Aug 1, 20252025-08 Monthly Summary for code-dot-org/code-dot-org: Delivered AI-assisted evaluation improvements, stabilized UI data flows, and a new personalization data model to support individualized learning experiences. Key outcomes include enabling multi-file AI analysis for Music and Python labs, stabilizing the Manage Students UI through Redux refactors and correct data fetch flows, and introducing a dedicated personalization data schema to better tailor learning journeys. Tech stack highlights include Redux, API/data-model updates, database migrations, and Levelbuilder enhancements. Business value: scalable automated assessment, reliable student data visibility, and data-driven personalization driving improved student outcomes and operational efficiency.
3 Commits • 2 Features
Aug 1, 20252025-08 Monthly Summary for code-dot-org/code-dot-org: Delivered AI-assisted evaluation improvements, stabilized UI data flows, and a new personalization data model to support individualized learning experiences. Key outcomes include enabling multi-file AI analysis for Music and Python labs, stabilizing the Manage Students UI through Redux refactors and correct data fetch flows, and introducing a dedicated personalization data schema to better tailor learning journeys. Tech stack highlights include Redux, API/data-model updates, database migrations, and Levelbuilder enhancements. Business value: scalable automated assessment, reliable student data visibility, and data-driven personalization driving improved student outcomes and operational efficiency.
August 2025
July 2025
6 Commits • 1 Features
Jul 1, 20252025-07 monthly summary for code-dot-org/code-dot-org focusing on stabilizing UnitSelector-related modules and delivering AI-assisted evaluation enhancements. Key outcomes include reverting unstable UnitSelector integration with Modular Courses to restore a stable calendar state and payload structures, and delivering AI Evaluation Framework Enhancements to enable AI-assisted scoring for Free Response Questions, including an AccuracyDetails UI, human-vs-AI evaluation comparisons, and configurable system prompts. These efforts reduced scheduling and data-structure risks while laying the groundwork for scalable AI-driven assessments. Notable commits include the unit revert sequence (de4d45b3325d24696b56a6e6ed7906a97c308361, 9204c3047dfc7c47a792afe17e89b4286d7f7753) with the 12241b37ebee4046e9e38ee03562b9c18c9a3a34 re-add, and the AI framework work (4cd9f07c029ad63f793a55606863b357db98317e, a17335bb6527eba5e80d08303362669efac1f3f2, dcb650f7b340f7925637e74f86f2ff61b91c1bc3).
July 2025
6 Commits • 1 Features
Jul 1, 20252025-07 monthly summary for code-dot-org/code-dot-org focusing on stabilizing UnitSelector-related modules and delivering AI-assisted evaluation enhancements. Key outcomes include reverting unstable UnitSelector integration with Modular Courses to restore a stable calendar state and payload structures, and delivering AI Evaluation Framework Enhancements to enable AI-assisted scoring for Free Response Questions, including an AccuracyDetails UI, human-vs-AI evaluation comparisons, and configurable system prompts. These efforts reduced scheduling and data-structure risks while laying the groundwork for scalable AI-driven assessments. Notable commits include the unit revert sequence (de4d45b3325d24696b56a6e6ed7906a97c308361, 9204c3047dfc7c47a792afe17e89b4286d7f7753) with the 12241b37ebee4046e9e38ee03562b9c18c9a3a34 re-add, and the AI framework work (4cd9f07c029ad63f793a55606863b357db98317e, a17335bb6527eba5e80d08303362669efac1f3f2, dcb650f7b340f7925637e74f86f2ff61b91c1bc3).
June 2025
5 Commits • 2 Features
Jun 1, 2025June 2025 performance summary for code-dot-org/code-dot-org: Implemented AI Evaluation and Feedback on Levels, including AI-driven feedback analysis for Free Response levels, a show_ai_analysis flag on level summaries, and new API endpoints plus frontend logic to surface existing student feedback. Added Skills Management Enhancements to support deletion of skills in the level builder and a Quick Access Skills dashboard link. These changes reduce manual review time, enable scalable feedback workflows, and improve content management. Tests and logic refinements accompany the changes to ensure reliability and maintainability of the feedback pipeline.
5 Commits • 2 Features
Jun 1, 2025June 2025 performance summary for code-dot-org/code-dot-org: Implemented AI Evaluation and Feedback on Levels, including AI-driven feedback analysis for Free Response levels, a show_ai_analysis flag on level summaries, and new API endpoints plus frontend logic to surface existing student feedback. Added Skills Management Enhancements to support deletion of skills in the level builder and a Quick Access Skills dashboard link. These changes reduce manual review time, enable scalable feedback workflows, and improve content management. Tests and logic refinements accompany the changes to ensure reliability and maintainability of the feedback pipeline.
June 2025
May 2025
8 Commits • 3 Features
May 1, 2025May 2025 monthly summary for code-dot-org/code-dot-org: Key features delivered include AI-powered rubric and student feedback UI enhancements, DSL-defined levels editing UI improvements, and a strengthened testing framework with cross-browser reliability. The work delivers tangible business value by improving AI-driven evaluation accuracy, clarifying level editing workflows for educators, and increasing release confidence through robust end-to-end tests across Chrome and Safari. Technologies demonstrated include AI prompts tuning, DSL-driven UI guidance, and cross-browser test automation.
May 2025
8 Commits • 3 Features
May 1, 2025May 2025 monthly summary for code-dot-org/code-dot-org: Key features delivered include AI-powered rubric and student feedback UI enhancements, DSL-defined levels editing UI improvements, and a strengthened testing framework with cross-browser reliability. The work delivers tangible business value by improving AI-driven evaluation accuracy, clarifying level editing workflows for educators, and increasing release confidence through robust end-to-end tests across Chrome and Safari. Technologies demonstrated include AI prompts tuning, DSL-driven UI guidance, and cross-browser test automation.
April 2025
19 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for code-dot-org/code-dot-org. This period delivered major AI evaluation system enhancements, underpinning data-model improvements, and robust data pipeline fixes, while addressing key reliability bugs affecting URL routing and progress loading. The work balanced UX/UI polish with solid backend/data engineering, aligning with business goals of higher-quality AI feedback, more accurate skill-based assessment, and more reliable data processing across the AI workflow.
19 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for code-dot-org/code-dot-org. This period delivered major AI evaluation system enhancements, underpinning data-model improvements, and robust data pipeline fixes, while addressing key reliability bugs affecting URL routing and progress loading. The work balanced UX/UI polish with solid backend/data engineering, aligning with business goals of higher-quality AI feedback, more accurate skill-based assessment, and more reliable data processing across the AI workflow.
April 2025
Activity
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Quality Metrics
Correctness87.4%
Maintainability86.6%
Architecture83.4%
Performance80.6%
AI Usage34.6%
Skills & Technologies
Programming Languages
CSSGherkinHAMLHTMLHamlJavaScriptReactRubySCSSSQL
Technical Skills
AI IntegrationAI Prompt EngineeringAI/ML IntegrationAPI DevelopmentAPI IntegrationAWS S3AnalyticsAutomationBackend DevelopmentBehavior Driven DevelopmentBehavior-Driven DevelopmentCSV HandlingCloud ServicesCode RefactoringComponent Design
Repositories Contributed To
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