continuousactivelearning/vibe
Feb 2026 – Mar 2026
2 Months active
Languages Used
CSSHTMLJavaScriptTypeScript
Technical Skills
API developmentExpressInversifyJSMongoDBNode.jsReact
Rishabh Shukla
PROFILE
Rishabh Shukla
Rishabh Shukla developed core features for the continuousactivelearning/vibe repository, focusing on auditability and AI-driven educational tools. He engineered an end-to-end Audit Trails System spanning backend services, data access, and a React-based frontend, enabling searchable, paginated audit logs for user actions across modules. Rishabh also built an AI Section Accordion Editor for dynamic content management and delivered an AI-Powered Educational Module that transcribes audio, segments content, and generates questions for teachers. His work combined Node.js, TypeScript, and MongoDB, emphasizing robust API development, UI/UX improvements, and security-focused coding practices, resulting in deeper accountability and enhanced user experience without introducing bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
31Total
Bugs
0
Commits
31
Features
4
Lines of code
279,767
Activity Months2
Your Network
56 peopleWork History
March 2026
18 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for continuousactivelearning/vibe: Delivered a fully functional AI-Powered Educational Module enabling teachers to transcribe audio, segment content, and generate questions automatically, combined with a comprehensive UI/UX overhaul for Activities, Submissions, and Ledger that enhances filtering, navigation, and visibility of badges and rewards. Implemented dynamic, backend-driven data displays for submission and ledger metrics (latest submissions, overdue/approved counts), and refined labels and workflows to reduce friction. Code quality and security improvements included removing console logs, sanitizing dangerouslySetInnerHTML usage, and improving fallback states and UI text. Technologies demonstrated include React-based frontend development, API-driven data binding, performance optimization of segments and question generation views, and security-focused coding practices.
18 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for continuousactivelearning/vibe: Delivered a fully functional AI-Powered Educational Module enabling teachers to transcribe audio, segment content, and generate questions automatically, combined with a comprehensive UI/UX overhaul for Activities, Submissions, and Ledger that enhances filtering, navigation, and visibility of badges and rewards. Implemented dynamic, backend-driven data displays for submission and ledger metrics (latest submissions, overdue/approved counts), and refined labels and workflows to reduce friction. Code quality and security improvements included removing console logs, sanitizing dangerouslySetInnerHTML usage, and improving fallback states and UI text. Technologies demonstrated include React-based frontend development, API-driven data binding, performance optimization of segments and question generation views, and security-focused coding practices.
March 2026
February 2026
13 Commits • 2 Features
Feb 1, 2026February 2026: Delivered end-to-end Audit Trails System across core modules with UI, backend, data access, versioning, and categorization to enhance accountability and traceability. Introduced AI Section Accordion Editor for content customization. Improved audit data visibility with a paginated, date-filtered frontend UI and optimized backend paths. Performed targeted reliability improvements including interceptor cleanup and enhanced course approval/rejection audit data.
February 2026
13 Commits • 2 Features
Feb 1, 2026February 2026: Delivered end-to-end Audit Trails System across core modules with UI, backend, data access, versioning, and categorization to enhance accountability and traceability. Introduced AI Section Accordion Editor for content customization. Improved audit data visibility with a paginated, date-filtered frontend UI and optimized backend paths. Performed targeted reliability improvements including interceptor cleanup and enhanced course approval/rejection audit data.
Activity
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Quality Metrics
Correctness87.6%
Maintainability82.4%
Architecture84.4%
Performance84.4%
AI Usage36.2%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptTypeScript
Technical Skills
API developmentAPI integrationExpressInversifyJSMongoDBNodeNode.jsReactTypeScriptUI/UX designbackend developmentdatabase managementfront end developmentfrontend developmentfull stack development
Repositories Contributed To
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