xiaoyifang/goldendict-ng
Nov 2024 – Dec 2025
2 Months active
Languages Used
C++
Technical Skills
C++QtQt FrameworkUI DevelopmentWindows DevelopmentC++ development
atauzki
PROFILE
Atauzki
Contributed to the xiaoyifang/goldendict-ng repository by delivering targeted improvements to Windows UI reliability and resource request handling. Addressed platform-specific inconsistencies by adapting the Qt window theme for dark mode and disabling auto dark reader, enhancing visual stability on Windows systems. Fixed a cross-file bug in case-insensitive string comparison by correcting QByteArrayView usage, improving code maintainability. Developed support for resource request URL fragments, enabling accurate retrievals for fragment-based URLs and preventing broken requests. Applied automated CI fixes to maintain code quality. Demonstrated expertise in C++, Qt Framework, and Windows development, focusing on robust, maintainable solutions for user-facing features.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
22
Activity Months2
Your Network
14 peopleWork History
December 2025
1 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12: Delivered Resource Request URL Fragment Support in xiaoyifang/goldendict-ng to enable retrievals that rely on URL fragments; implemented guarded logic to avoid appending fragments when not present, addressing issues around fragment handling. This work improves retrieval accuracy and compatibility for fragment-based URLs and reduces broken requests. CI automation (autofix-ci) applied automated fixes to maintain code quality and CI readiness.
1 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12: Delivered Resource Request URL Fragment Support in xiaoyifang/goldendict-ng to enable retrievals that rely on URL fragments; implemented guarded logic to avoid appending fragments when not present, addressing issues around fragment handling. This work improves retrieval accuracy and compatibility for fragment-based URLs and reduces broken requests. CI automation (autofix-ci) applied automated fixes to maintain code quality and CI readiness.
December 2025
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for xiaoyifang/goldendict-ng: Delivered Windows-focused UI reliability improvements and a critical bug fix that enhances string matching across the codebase. Key outcomes include improved Windows dark mode visual stability by adapting the window theme to dark mode (switch to Fusion in dark mode, revert to WindowsVista otherwise) to address Qt 6.7 issues, and disable auto dark reader on Windows to ensure predictable appearance. Fixed a cross-file bug in string handling by correcting QBtyeArrayView::compare usage and ensuring equality is checked against 0 for proper case-insensitive comparisons. These changes reduce platform-specific UI inconsistencies, improve user experience on Windows, and strengthen code quality and maintainability. Technologies demonstrated include Qt 6, C++, and Windows theming integration; commits referenced below.
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for xiaoyifang/goldendict-ng: Delivered Windows-focused UI reliability improvements and a critical bug fix that enhances string matching across the codebase. Key outcomes include improved Windows dark mode visual stability by adapting the window theme to dark mode (switch to Fusion in dark mode, revert to WindowsVista otherwise) to address Qt 6.7 issues, and disable auto dark reader on Windows to ensure predictable appearance. Fixed a cross-file bug in string handling by correcting QBtyeArrayView::compare usage and ensuring equality is checked against 0 for proper case-insensitive comparisons. These changes reduce platform-specific UI inconsistencies, improve user experience on Windows, and strengthen code quality and maintainability. Technologies demonstrated include Qt 6, C++, and Windows theming integration; commits referenced below.
Activity
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Quality Metrics
Correctness90.0%
Maintainability85.0%
Architecture80.0%
Performance85.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ developmentQtQt FrameworkUI DevelopmentUI developmentWindows Development
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