ai-shifu/ai-shifu
Jan 2025 – Jan 2025
1 Month active
Languages Used
CSSHTMLJavaScriptShellTypeScript
Technical Skills
Ant DesignBabelCI/CDESLintFront End DevelopmentGit
MoeMoeFish
PROFILE
Moemoefish
During January 2025, Moemoefish enhanced the ai-shifu/ai-shifu platform by delivering user interface improvements focused on navigation and onboarding. They implemented new features such as an 'ask' button, activity messaging, and pay-promotion displays within the lesson tree, using React, Ant Design, and TypeScript to ensure a cohesive user experience. Moemoefish also addressed a critical issue where lesson data failed to refresh after login, improving data consistency by updating the authentication flow. Their work included menu refactoring and dependency updates, contributing to platform stability and maintainability. The depth of these changes reflects a thoughtful approach to both user experience and code quality.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
5,518
Activity Months1
Your Network
11 people
Work History
January 2025
2 Commits • 1 Features
Jan 1, 2025Monthly summary for 2025-01 focusing on features delivered, bugs fixed, impact, and skills demonstrated for the ai-shifu/ai-shifu repository. The month centered on UI/UX enhancements, stability improvements, a critical login-data consistency fix, and maintenance work that enhances navigation and dependency hygiene. These efforts align with increased user engagement, smoother onboarding, and more reliable platform behavior.
2 Commits • 1 Features
Jan 1, 2025Monthly summary for 2025-01 focusing on features delivered, bugs fixed, impact, and skills demonstrated for the ai-shifu/ai-shifu repository. The month centered on UI/UX enhancements, stability improvements, a critical login-data consistency fix, and maintenance work that enhances navigation and dependency hygiene. These efforts align with increased user engagement, smoother onboarding, and more reliable platform behavior.
January 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance70.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptShellTypeScript
Technical Skills
Ant DesignBabelCI/CDESLintFront End DevelopmentGitNode.jsPrettierReactWebpackZustand
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