ls1intum/edutelligence
Jan 2026 – Mar 2026
2 Months active
Languages Used
DockerfilePython
Technical Skills
API integrationContainerizationDevOpsPydanticPython Developmentasync programming
Konrad Weiß
PROFILE
Konrad Weiß
Over a two-month period, contributed to the ls1intum/edutelligence repository by developing and integrating advanced language model features and automated feedback systems. Built an LM Studio model loader with structured output and function-calling support, updating the backend to handle LM Studio-specific responses and ensuring seamless integration within the Athena framework. Improved build reliability by updating protobuf-dev in the Dockerfile, maintaining compatibility with evolving dependencies. Additionally, implemented a Programming Quality Assessment Module leveraging large language models to automate feedback for programming submissions. The work utilized Python, Docker, and async programming, enhancing the flexibility, maintainability, and scalability of backend AI-driven workflows.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
5,208
Activity Months2
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 (ls1intum/edutelligence) — Focused on delivering scalable programming quality feedback capabilities. Implemented a new Programming Quality Assessment Module leveraging large language models to automatically generate feedback for programming submissions. This work lays the groundwork for broader quality assessment tooling and dashboards, enabling faster, more consistent guidance for learners. No major bugs fixed this month; emphasis was on feature delivery, code quality, and documentation.
1 Commits • 1 Features
Mar 1, 2026March 2026 (ls1intum/edutelligence) — Focused on delivering scalable programming quality feedback capabilities. Implemented a new Programming Quality Assessment Module leveraging large language models to automatically generate feedback for programming submissions. This work lays the groundwork for broader quality assessment tooling and dashboards, enabling faster, more consistent guidance for learners. No major bugs fixed this month; emphasis was on feature delivery, code quality, and documentation.
March 2026
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 highlights for ls1intum/edutelligence: Delivered LM Studio integration (loader, structured outputs, and function-calling) and stabilized builds by updating protobuf-dev in Dockerfile to ensure compatibility with latest libraries.
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 highlights for ls1intum/edutelligence: Delivered LM Studio integration (loader, structured outputs, and function-calling) and stabilized builds by updating protobuf-dev in Dockerfile to ensure compatibility with latest libraries.
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage53.4%
Skills & Technologies
Programming Languages
DockerfilePython
Technical Skills
AI DevelopmentAPI integrationBackend DevelopmentContainerizationDevOpsMachine LearningPydanticPythonPython Developmentasync programmingbackend developmentdata processing
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