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 repository by delivering user interface improvements and addressing platform stability. They implemented new features such as an 'ask' button, activity messaging, and pay-promotion displays within the lesson tree, all aimed at improving navigation and user experience. Using React, TypeScript, and Ant Design, Moemoefish refactored menus and introduced a global help menu to streamline onboarding. They also resolved a login-related bug by ensuring the lesson tree refreshes upon authentication, maintaining data consistency. Dependency updates and code hygiene improvements further contributed to a more reliable platform, reflecting a thoughtful and well-rounded engineering approach.
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
12 peopleShared Repositories
12
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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