aau-giraf/visual-tangible-artefacts
Oct 2025 – Oct 2025
1 Month active
Languages Used
C#DartSQL
Technical Skills
API DevelopmentBackend DevelopmentDTO MappingDTO PatternDatabase DesignDatabase Management
Allan Krog
PROFILE
Allan Krog
During October 2025, Morten Quistgaard developed usage tracking infrastructure for the aau-giraf/visual-tangible-artefacts repository, focusing on end-to-end visibility into user interactions with category assets. He designed and implemented new fields and defaults in ArtefactContext and UserContext, using C#, SQL, and robust DTO mapping to stabilize category usage data and prevent nulls throughout the data pipeline. Morten also delivered API endpoints and frontend updates in Dart to track and display users’ most-used categories, enabling data-driven insights and personalized experiences. His work addressed pipeline reliability, improved analytics quality, and established a solid foundation for future data-driven product decisions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
466
Activity Months1
Your Network
61 people
Work History
October 2025
4 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for aau-giraf/visual-tangible-artefacts: Key features delivered include (1) Usage Tracking Infrastructure across ArtefactContext and UserContext with new fields and defaults to stabilize category usage data, adjust DTO conversion, and prevent nulls in the data pipeline; this improves analytics reliability and data quality. (2) User Category Usage Tracking and Display, exposing endpoints to retrieve a user's most-used categories ordered by usage count and last-used date, and updating the frontend to display and trigger usage tracking when a category is accessed. These features enable data-driven decisions and a more personalized user experience. Major bugs fixed include pipeline error fixes across multiple commits to stabilize the usage-tracking pipeline. Overall impact: end-to-end visibility into asset usage, improved data quality, and foundation for personalized UX and data-driven product decisions. Skills demonstrated: data modeling across ArtefactContext/UserContext; robust DTO handling and DB defaults; API design for usage endpoints; frontend-backend integration; auth edge-case handling; pipeline reliability and observability.
4 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for aau-giraf/visual-tangible-artefacts: Key features delivered include (1) Usage Tracking Infrastructure across ArtefactContext and UserContext with new fields and defaults to stabilize category usage data, adjust DTO conversion, and prevent nulls in the data pipeline; this improves analytics reliability and data quality. (2) User Category Usage Tracking and Display, exposing endpoints to retrieve a user's most-used categories ordered by usage count and last-used date, and updating the frontend to display and trigger usage tracking when a category is accessed. These features enable data-driven decisions and a more personalized user experience. Major bugs fixed include pipeline error fixes across multiple commits to stabilize the usage-tracking pipeline. Overall impact: end-to-end visibility into asset usage, improved data quality, and foundation for personalized UX and data-driven product decisions. Skills demonstrated: data modeling across ArtefactContext/UserContext; robust DTO handling and DB defaults; API design for usage endpoints; frontend-backend integration; auth edge-case handling; pipeline reliability and observability.
October 2025
Activity
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Quality Metrics
Correctness82.6%
Maintainability85.0%
Architecture75.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#DartSQL
Technical Skills
API DevelopmentBackend DevelopmentDTO MappingDTO PatternDatabase DesignDatabase ManagementFrontend DevelopmentState Management
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