TDT4290-Gr6/math-mate
Sep 2025 – Oct 2025
2 Months active
Languages Used
BashJavaScriptMarkdownTypeScriptYAMLCSSDockerfileHTML
Technical Skills
AI IntegrationAPI ConfigurationAPI IntegrationAsynchronous ProgrammingCI/CDClean Architecture
Runar Saur Modahl
PROFILE
Runar Saur Modahl
Runar Modland contributed to the TDT4290-Gr6/math-mate repository, building an AI-driven math problem solver and dataset generation workflow. He integrated OpenAI and Gemini APIs to automate step-by-step solution creation, implemented structured validation, and persisted results for reproducibility. His work included Dockerizing the application for consistent deployment, establishing CI/CD pipelines with GitHub Actions, and enhancing onboarding through improved documentation and code review automation. Using TypeScript, React, and Node.js, he delivered robust authentication, accessible UI components, and comprehensive end-to-end testing with Cypress. The depth of his contributions addressed both backend reliability and frontend usability, resulting in a maintainable, scalable codebase.
Overall Statistics
Feature vs Bugs
59%Features
Repository Contributions
146Total
Bugs
44
Commits
146
Features
64
Lines of code
6,970
Activity Months2
Your Network
9 people
Work History
October 2025
134 Commits • 61 Features
Oct 1, 2025October 2025 (2025-10) monthly summary for math-mate (TDT4290-Gr6). This sprint focused on delivering UX enhancements, robust user flows, and reproducible deployment while strengthening the foundation for scale. Key features and business value were shipped, while critical bugs were fixed to stabilize onboarding and daily usage. Highlights below focus on business value and technical achievements.
134 Commits • 61 Features
Oct 1, 2025October 2025 (2025-10) monthly summary for math-mate (TDT4290-Gr6). This sprint focused on delivering UX enhancements, robust user flows, and reproducible deployment while strengthening the foundation for scale. Key features and business value were shipped, while critical bugs were fixed to stabilize onboarding and daily usage. Highlights below focus on business value and technical achievements.
October 2025
September 2025
12 Commits • 3 Features
Sep 1, 2025September 2025 focused on delivering automation, AI-assisted workflows, and architecture/documentation improvements in the math-mate project to accelerate problem dataset generation, improve code quality, and enhance onboarding. Key outcomes include an AI-driven workflow for generating step-by-step solutions and datasets with structured validation, CI/CD automation with linting and CodeRabbit integration, and updated architecture and contributor guidelines to streamline development. These efforts improved velocity, reproducibility, and reliability across the development lifecycle.
September 2025
12 Commits • 3 Features
Sep 1, 2025September 2025 focused on delivering automation, AI-assisted workflows, and architecture/documentation improvements in the math-mate project to accelerate problem dataset generation, improve code quality, and enhance onboarding. Key outcomes include an AI-driven workflow for generating step-by-step solutions and datasets with structured validation, CI/CD automation with linting and CodeRabbit integration, and updated architecture and contributor guidelines to streamline development. These efforts improved velocity, reproducibility, and reliability across the development lifecycle.
Activity
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Quality Metrics
Correctness89.6%
Maintainability89.8%
Architecture84.4%
Performance86.4%
AI Usage28.2%
Skills & Technologies
Programming Languages
BashCSSDockerfileHTMLJSONJavaScriptMarkdownSQLSVGShell
Technical Skills
AI IntegrationAPI ConfigurationAPI DesignAPI DevelopmentAPI IntegrationAPI RefactoringAccessibilityAsset ManagementAsynchronous ProgrammingAuthenticationBackend DevelopmentCI/CDCSSClean ArchitectureCode Cleanup
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline