collectioncard/Selection-Generation
Jun 2025 – Jun 2025
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
AI IntegrationAPI IntegrationFront End DevelopmentFrontend DevelopmentGame DevelopmentPhaser
sbelambe
PROFILE
Sbelambe
Siddharth Belambe developed user-centric features for the collectioncard/Selection-Generation repository, focusing on scene tooling and reliability improvements. He implemented AI-assisted layer naming, leveraging TypeScript and JavaScript to automate descriptive names for scene layers by analyzing dimensions and chat history, reducing manual effort. Siddharth also introduced a tool to enumerate named layers with their dimensions and positions, updating API documentation to support these enhancements. To improve robustness, he added asynchronous error handling for feature placement, providing clearer feedback during scene generation. His work demonstrated depth in AI integration, API development, and frontend engineering, enabling faster iteration and more consistent user experiences.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
202
Activity Months1
Your Network
69 people
Work History
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025 performance summary for repository collectioncard/Selection-Generation. Focused on delivering user-centric features, improving reliability, and enhancing scene tooling to enable faster iteration and consistent results across TinyTownScene. Three key deliverables were shipped, with corresponding commits, and API/docs were updated to reflect new capabilities.
3 Commits • 2 Features
Jun 1, 2025June 2025 performance summary for repository collectioncard/Selection-Generation. Focused on delivering user-centric features, improving reliability, and enhancing scene tooling to enable faster iteration and consistent results across TinyTownScene. Three key deliverables were shipped, with corresponding commits, and API/docs were updated to reflect new capabilities.
June 2025
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture83.4%
Performance63.4%
AI Usage46.6%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
AI IntegrationAPI IntegrationFront End DevelopmentFrontend DevelopmentGame DevelopmentPhaserTypeScript
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