Learning-Mode-AI/Learning-Mode-AI
Jan 2025 – Jul 2025
5 Months active
Languages Used
CSSJSONJavaScriptMarkdownTypeScriptHTMLYAMLGo
Technical Skills
Browser Extension DevelopmentBuild ToolsCSSCode CleanupCode FormattingConfiguration
nnourr
PROFILE
Nnourr
Nour contributed to the Learning-Mode-AI/Learning-Mode-AI repository by building and refining features across both backend and frontend, focusing on developer tooling, authentication, and user experience. Over five months, Nour implemented a webpack-based build pipeline, improved authentication logic, and introduced Redis-backed quota management for AI features, using JavaScript, React, and Docker. The work included UI/UX enhancements such as chat styling and navigation updates, as well as code quality improvements like centralized configuration and linting compliance. Nour’s approach emphasized maintainability and scalability, resulting in a more reliable extension with streamlined deployment, improved onboarding, and a cohesive user experience across the product.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
28Total
Bugs
2
Commits
28
Features
8
Lines of code
-533,449
Activity Months5
Your Network
13 people
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 — Learning-Mode-AI/Learning-Mode-AI focused on code quality, reliability, and maintainability enhancements to enable faster future velocity and reduce production risk. Key changes centralized BASE_URL access and improved code standards in the background script, setting the stage for scalable growth and easier onboarding of new contributors.
2 Commits • 1 Features
Jul 1, 2025July 2025 — Learning-Mode-AI/Learning-Mode-AI focused on code quality, reliability, and maintainability enhancements to enable faster future velocity and reduce production risk. Key changes centralized BASE_URL access and improved code standards in the background script, setting the stage for scalable growth and easier onboarding of new contributors.
July 2025
April 2025
3 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Focused on UI/UX polish across the Learning-Mode-AI extension to improve usability and visual consistency. Implemented a content wrapper background, a hamburger navigation with a gradient header, and refined chat styling. No major bugs fixed this month; the work centered on UI polish and usability, delivering clearer user flows and a more cohesive product experience.
April 2025
3 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Focused on UI/UX polish across the Learning-Mode-AI extension to improve usability and visual consistency. Implemented a content wrapper background, a hamburger navigation with a gradient header, and refined chat styling. No major bugs fixed this month; the work centered on UI polish and usability, delivering clearer user flows and a more cohesive product experience.
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for Learning-Mode-AI/Learning-Mode-AI. Delivered two key capabilities focused on monetization and user experience. 1) AI Question Quota by Subscription Tier: implemented monthly limits on AI questions by user tier with Redis-backed quota storage, access control in the AI handler, and integration with tier service logic, plus an upgrade-path UI when quotas are exhausted. 2) Quiz UI Rendering and Welcome/Layout Improvements: ensured QuizFetcher re-renders on quiz generation, removed an unnecessary initial data fetch, and polished welcome screen and quiz holder styling for a cleaner initial presentation. Business impact includes enabling tiered monetization, reducing unnecessary load, and delivering a smoother onboarding experience. Technical impact includes robust quota enforcement, end-to-end feature integration between backend quota logic and frontend UI, and performance/UX refinements across the quiz flow.
5 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for Learning-Mode-AI/Learning-Mode-AI. Delivered two key capabilities focused on monetization and user experience. 1) AI Question Quota by Subscription Tier: implemented monthly limits on AI questions by user tier with Redis-backed quota storage, access control in the AI handler, and integration with tier service logic, plus an upgrade-path UI when quotas are exhausted. 2) Quiz UI Rendering and Welcome/Layout Improvements: ensured QuizFetcher re-renders on quiz generation, removed an unnecessary initial data fetch, and polished welcome screen and quiz holder styling for a cleaner initial presentation. Business impact includes enabling tiered monetization, reducing unnecessary load, and delivering a smoother onboarding experience. Technical impact includes robust quota enforcement, end-to-end feature integration between backend quota logic and frontend UI, and performance/UX refinements across the quiz flow.
March 2025
February 2025
7 Commits • 2 Features
Feb 1, 2025February 2025 — Monthly summary focused on delivering end-to-end quiz functionality, UI polish, and data privacy improvements for the Learning-Mode-AI project.
February 2025
7 Commits • 2 Features
Feb 1, 2025February 2025 — Monthly summary focused on delivering end-to-end quiz functionality, UI polish, and data privacy improvements for the Learning-Mode-AI project.
January 2025
11 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for Learning-Mode-AI/Learning-Mode-AI: Delivered a robust build and deployment foundation, authentication reliability improvements, and UI stabilization that collectively enhance developer productivity and user experience. Key outcomes include a webpack-based build pipeline with an npm build script, environment variable injection into manifest.json, and adopted code quality tooling to streamline development and deployment. Refined authentication to ensure correct user identification before enabling learning mode, removing invalid sign-in calls and eliminating the global userID. Stabilized UI by reverting conflicting CSS and minor JS changes, addressing chat container styling and video processing error handling.
11 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for Learning-Mode-AI/Learning-Mode-AI: Delivered a robust build and deployment foundation, authentication reliability improvements, and UI stabilization that collectively enhance developer productivity and user experience. Key outcomes include a webpack-based build pipeline with an npm build script, environment variable injection into manifest.json, and adopted code quality tooling to streamline development and deployment. Refined authentication to ensure correct user identification before enabling learning mode, removing invalid sign-in calls and eliminating the global userID. Stabilized UI by reverting conflicting CSS and minor JS changes, addressing chat container styling and video processing error handling.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture82.2%
Performance86.4%
AI Usage24.2%
Skills & Technologies
Programming Languages
CSSGoHTMLJSONJavaScriptMarkdownTypeScriptYAML
Technical Skills
API DevelopmentBackend DevelopmentBrowser Extension DevelopmentBuild ToolsCSSCSS StylingCode CleanupCode FormattingConfigurationConfiguration ManagementDependency ManagementDevOpsDeveloper ToolingDockerDocumentation
Repositories Contributed To
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