aau-giraf/visual-tangible-artefacts
Nov 2024 – Nov 2024
1 Month active
Languages Used
C#DartJSONYAML
Technical Skills
AI IntegrationAPI DevelopmentBackend DevelopmentCI/CDDartDatabase Management
svedballe
PROFILE
Svedballe
In November 2024, Jhan worked on the aau-giraf/visual-tangible-artefacts repository, delivering two user-facing features that enhanced image generation control and streamlined category management. He implemented AI Image Generation Style Selection, allowing users to choose between Piktogram, Realistisk, and Tegning styles, refactoring prompts and adding robust error handling for missing formats. For Categories Management, he developed UI and backend logic for editing, deleting, and drag-and-drop reordering, with automated cleanup of associated images. Using Dart, Flutter, and API development skills, Jhan focused on maintainability and business value, reducing manual steps and preventing asset bloat through reliable data and asset management.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
686
Activity Months1
Your Network
61 people
Work History
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for the aau-giraf/visual-tangible-artefacts project, focusing on delivering user-facing features that improve image generation control and category management, with reliable error handling and asset cleanup. Highlights include AI Image Generation Style Selection and Categories Management Enhancements; these changes improve business value by enabling expressive outputs, reducing manual steps, and preventing asset bloat.
3 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for the aau-giraf/visual-tangible-artefacts project, focusing on delivering user-facing features that improve image generation control and category management, with reliable error handling and asset cleanup. Highlights include AI Image Generation Style Selection and Categories Management Enhancements; these changes improve business value by enabling expressive outputs, reducing manual steps, and preventing asset bloat.
November 2024
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture80.0%
Performance73.4%
AI Usage40.0%
Skills & Technologies
Programming Languages
C#DartJSONYAML
Technical Skills
AI IntegrationAPI DevelopmentBackend DevelopmentCI/CDDartDatabase ManagementFlutterFrontend DevelopmentMobile DevelopmentState ManagementUI DevelopmentUI/UX Development
Repositories Contributed To
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