scrumdojo/quizmaster
Jan 2026 – Jan 2026
1 Month active
Languages Used
JavaMarkdownRubyTypeScript
Technical Skills
API developmentBDDPostgreSQLReactRuby on RailsSpring Boot
tankosh
PROFILE
Tankosh
Worked on the scrumdojo/quizmaster repository to deliver robust quiz creation validation and AI architecture guidance. Enhanced the quiz creation process by implementing comprehensive validation rules for pass score bounds, time limits, and default value handling, ensuring users receive clear guidance and reducing invalid submissions. Refactored validation workflows to apply default values consistently, improving reliability and onboarding for both developers and AI agents. Added detailed architectural documentation to standardize development practices. Leveraged skills in TypeScript, Ruby on Rails, and behavior-driven development to address reliability and maintainability, focusing on both front end and back end improvements within a test-driven development framework.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
161
Activity Months1
Your Network
104 peopleShared Repositories
104
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davidvojta-ext44851Member
Work History
January 2026
7 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for scrumdojo/quizmaster highlighting key feature deliveries, critical bug fixes, and overall impact. Delivered robust quiz creation validation with comprehensive rules, default value handling, and clear user guidance; added AI Architecture Guidance to standardize development practices; and completed targeted fixes and refactors to improve reliability and onboarding. Overall, these efforts improve reliability of quiz creation, reduce invalid submissions, and accelerate developer and AI agent onboarding.
7 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for scrumdojo/quizmaster highlighting key feature deliveries, critical bug fixes, and overall impact. Delivered robust quiz creation validation with comprehensive rules, default value handling, and clear user guidance; added AI Architecture Guidance to standardize development practices; and completed targeted fixes and refactors to improve reliability and onboarding. Overall, these efforts improve reliability of quiz creation, reduce invalid submissions, and accelerate developer and AI agent onboarding.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability91.4%
Architecture91.4%
Performance94.4%
AI Usage31.4%
Skills & Technologies
Programming Languages
JavaMarkdownRubyTypeScript
Technical Skills
API developmentBDDPostgreSQLReactRuby on RailsSpring BootTypeScriptback end developmentbehavior-driven developmentfront end developmenttest-driven development
Repositories Contributed To
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