hud-evals/hud-sdk
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
PythonSoftware DevelopmentUnit Testingautomationfull stack developmenttesting
alberthu233
PROFILE
Alberthu233
Worked on the hud-evals/hud-sdk repository to enhance the drag-and-drop user experience for the Gemini tool, focusing on robustness and automation. Addressed edge-case failures by implementing coordinate clamping and path interpolation, ensuring smoother and more reliable drag operations. Improved type checking in drag-and-drop logic to strengthen coordinate handling and overall system stability. Refactored PyAutoGUI-based drag tests to better simulate real-world interactions using mouseDown, moveTo, and mouseUp, which increased test coverage and reduced manual QA effort. Utilized Python and full stack development skills, with an emphasis on software development best practices, unit testing, and automation throughout the project.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
213
Activity Months1
Your Network
28 peopleWork History
April 2026
3 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for hud-sdk development focusing on drag-and-drop UX, robustness, and test automation. Delivered targeted enhancements for the Gemini tool, hardened drag-and-drop coordinate handling, and improved PyAutoGUI drag tests. The work reduced edge-case failures, increased reliability of drag operations, and strengthened test coverage, driving business value through a smoother user experience and lower QA effort.
3 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for hud-sdk development focusing on drag-and-drop UX, robustness, and test automation. Delivered targeted enhancements for the Gemini tool, hardened drag-and-drop coordinate handling, and improved PyAutoGUI drag tests. The work reduced edge-case failures, increased reliability of drag operations, and strengthened test coverage, driving business value through a smoother user experience and lower QA effort.
April 2026
Activity
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage26.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonSoftware DevelopmentUnit Testingautomationfull stack developmenttesting
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