arcsysu/YatCC
Feb 2025 – May 2025
4 Months active
Languages Used
CPythonMarkdown
Technical Skills
Algorithm OptimizationCode RefactoringPerformance TestingBug FixingScriptingDocumentation
Gemini321
PROFILE
Gemini321
Pan Wenxin contributed to the arcsysu/YatCC repository over four months, focusing on codebase stability, documentation, and onboarding improvements. They enhanced the reliability of performance benchmark tests through code refactoring and algorithm optimization in C and Python, consolidating the test suite to reduce maintenance overhead. Pan addressed a critical bug in input file path handling, improving data integrity for script-driven workflows. They authored detailed documentation, including an LLM configuration guide and onboarding assets, to streamline AI tool setup for new users. Their work emphasized maintainability and user experience, with careful attention to documentation accuracy and the prevention of configuration errors.
Overall Statistics
Feature vs Bugs
25%Features
Repository Contributions
5Total
Bugs
3
Commits
5
Features
1
Lines of code
65,974
Activity Months4
Your Network
16 people
Work History
May 2025
2 Commits
May 1, 2025May 2025 monthly summary for arcsysu/YatCC: Focused on improving AI tool configuration reliability and developer-facing documentation. Corrected incorrect AI tool configuration URLs in the Roo Code plugin README by merging two commits that fix the base URL and the LLM endpoint, ensuring users point to the correct server.
2 Commits
May 1, 2025May 2025 monthly summary for arcsysu/YatCC: Focused on improving AI tool configuration reliability and developer-facing documentation. Corrected incorrect AI tool configuration URLs in the Roo Code plugin README by merging two commits that fix the base URL and the LLM endpoint, ensuring users point to the correct server.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for arcsysu/YatCC focused on onboarding and documentation for LLM configuration. Delivered an LLM Configuration Guide in the README to configure Base URL and API-key for the Roo Code plugin, complemented by a new onboarding GIF to demonstrate AI tool setup. No major bugs fixed this month. This work improves user adoption, reduces setup time, and strengthens alignment with external tutorials and best practices. Demonstrated skills in documentation, UX writing, and asset creation, and applied Git versioning through a focused commit.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for arcsysu/YatCC focused on onboarding and documentation for LLM configuration. Delivered an LLM Configuration Guide in the README to configure Base URL and API-key for the Roo Code plugin, complemented by a new onboarding GIF to demonstrate AI tool setup. No major bugs fixed this month. This work improves user adoption, reduces setup time, and strengthens alignment with external tutorials and best practices. Demonstrated skills in documentation, UX writing, and asset creation, and applied Git versioning through a focused commit.
March 2025
1 Commits
Mar 1, 2025March 2025 (2025-03): Focused on stabilizing the arcsysu/YatCC codebase by addressing a critical input file path handling bug, with no new features released this month. The fix prevents mis-formed paths by switching from rstrip to removesuffix, improving input data reliability and downstream script behavior. This work reduces runtime errors and supports safer data processing pipelines.
1 Commits
Mar 1, 2025March 2025 (2025-03): Focused on stabilizing the arcsysu/YatCC codebase by addressing a critical input file path handling bug, with no new features released this month. The fix prevents mis-formed paths by switching from rstrip to removesuffix, improving input data reliability and downstream script behavior. This work reduces runtime errors and supports safer data processing pipelines.
March 2025
February 2025
1 Commits
Feb 1, 2025February 2025: Maintained and streamlined the YatCC project by consolidating the test suite, reducing maintenance overhead, and stabilizing the benchmark tests. Focused on cleaning up performance benchmark tests to improve reliability and readability without introducing new features.
February 2025
1 Commits
Feb 1, 2025February 2025: Maintained and streamlined the YatCC project by consolidating the test suite, reducing maintenance overhead, and stabilizing the benchmark tests. Focused on cleaning up performance benchmark tests to improve reliability and readability without introducing new features.
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture92.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CMarkdownPython
Technical Skills
Algorithm OptimizationBug FixingCode RefactoringDocumentationPerformance TestingScripting
Repositories Contributed To
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