ls1intum/Artemis
Mar 2026 – Apr 2026
2 Months active
Languages Used
HTMLJavaMarkdownSCSSTypeScriptYAML
Technical Skills
AI integrationAngularDevOpsDockerJavaSpring
Louis Heinrich
PROFILE
Louis Heinrich
Over a two-month period, contributed to the Artemis repository by delivering four core features focused on AI-driven quiz creation and user experience improvements. Developed AI-assisted quiz question refinement, including a new API endpoint and UI enhancements, enabling editors to streamline quiz authoring with optional hints and explanations. Updated Docker setup documentation to support passkey authentication, strengthening deployment security and reliability. Enhanced the competency management table with sorting and filtering, improving data navigation for users. The work demonstrated full stack development skills using Java, Angular, and Docker, with an emphasis on maintainable documentation, configuration management, and collaborative, end-to-end feature delivery.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
4
Lines of code
1,920
Activity Months2
Your Network
179 peopleWork History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for Artemis (ls1intum/Artemis). Key accomplishments include delivering AI-assisted quiz question refinement and enhanced quiz data model/UI, enabling editor-driven AI MQC refinement to improve quiz creation and quality. Implemented a new API endpoint to refine questions using AI prompts, extended data models with optional hints and explanations for quiz questions and answers, and built a UI for AI-driven question refinement to streamline authoring workflows. Shipped end-to-end changes with commit 300a20c279ae07436a90593eb6bae27cf099cf64 (Quiz exercises: Add Editor-Driven AI MQC Refinement (#12375)).
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for Artemis (ls1intum/Artemis). Key accomplishments include delivering AI-assisted quiz question refinement and enhanced quiz data model/UI, enabling editor-driven AI MQC refinement to improve quiz creation and quality. Implemented a new API endpoint to refine questions using AI prompts, extended data models with optional hints and explanations for quiz questions and answers, and built a UI for AI-driven question refinement to streamline authoring workflows. Shipped end-to-end changes with commit 300a20c279ae07436a90593eb6bae27cf099cf64 (Quiz exercises: Add Editor-Driven AI MQC Refinement (#12375)).
April 2026
March 2026
3 Commits • 3 Features
Mar 1, 2026March 2026 focused on delivering core features, improving content quality, and enhancing user experience in Artemis. Key features delivered include Docker setup documentation updated for passkey authentication and module feature enablement, AI Quiz Generation with Markdown-formatted questions and options, and UX improvements adding sorting and filtering to the competency management table. Major bugs fixed: none reported in this period based on available data. Overall impact: strengthened deployment reliability and security posture (passkey auth), improved clarity and maintainability of AI-generated quizzes, and faster, more informed decision-making through enhanced competency analytics. Technologies/skills demonstrated: Docker and passkey authentication configuration, Markdown formatting for content generation, frontend UX work (sorting/filtering in data tables), and collaborative, well-documented development practices.
March 2026
3 Commits • 3 Features
Mar 1, 2026March 2026 focused on delivering core features, improving content quality, and enhancing user experience in Artemis. Key features delivered include Docker setup documentation updated for passkey authentication and module feature enablement, AI Quiz Generation with Markdown-formatted questions and options, and UX improvements adding sorting and filtering to the competency management table. Major bugs fixed: none reported in this period based on available data. Overall impact: strengthened deployment reliability and security posture (passkey auth), improved clarity and maintainability of AI-generated quizzes, and faster, more informed decision-making through enhanced competency analytics. Technologies/skills demonstrated: Docker and passkey authentication configuration, Markdown formatting for content generation, frontend UX work (sorting/filtering in data tables), and collaborative, well-documented development practices.
Activity
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Quality Metrics
Correctness100.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage55.0%
Skills & Technologies
Programming Languages
HTMLJavaMarkdownSCSSTypeScriptYAML
Technical Skills
AI integrationAPI developmentAngularDevOpsDockerJavaSpringconfiguration managementdocumentationfront end developmentfull stack development
Repositories Contributed To
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