instructure/canvas-lms
May 2025 – Aug 2025
2 Months active
Languages Used
JavaScriptRubySVGTypeScriptYAML
Technical Skills
API DocumentationAsset ManagementDocumentationFrontend DevelopmentUI DevelopmentConfiguration Management
Kyle Rosenbaum
PROFILE
Kyle Rosenbaum
Kris Rosenbaum focused on quality improvements and risk mitigation in the instructure/canvas-lms repository over a two-month period. He removed deprecated assets, such as the Ninja.svg icon, from the confetti system to streamline asset management and maintain UI consistency. Kris also corrected API documentation errors, improving clarity for developers integrating with group categories. In addition, he implemented Shadow Mode for feature flags using TypeScript and YAML, allowing safer feature rollouts by enabling production-like testing without exposing changes to end users. His work demonstrated disciplined maintenance, careful configuration management, and attention to detail in both frontend development and documentation practices.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
3Total
Bugs
3
Commits
3
Features
0
Lines of code
93
Activity Months2
Your Network
352 peopleSame Organization
@instructure.com184
Ahmed NaguibMember
Ádám MátéMember
Adam_MikulasMember
Adam MolnarMember
Nagy AdamMember
Adam SzaboMember
Adrian GruberMember
akemenyMember
Akos HermannMember
Shared Repositories
168
Ádám MátéMember
Adam_MikulasMember
Adam MolnarMember
Adam SzaboMember
Adrian GruberMember
akemenyMember
Akos HorvathMember
Alexandre DosSantosMember
alvaro.talaveraMember
Work History
August 2025
1 Commits
Aug 1, 2025Monthly summary for 2025-08: Implemented Shadow Mode for feature flags in instructure/canvas-lms to prevent breaking the Assignments page during feature rollouts. This corrective measure adjusts flag configurations to shadow mode, enabling testing in production-like environments without exposing new behavior to end users. Key commit: b4f9c17f969c56f1b4ec8e03692a43070841fca9 (set in development Engage team FFs to shadow, refs EGG-1526). This reduces risk of accidental broad enablement and supports safer, faster releases.
1 Commits
Aug 1, 2025Monthly summary for 2025-08: Implemented Shadow Mode for feature flags in instructure/canvas-lms to prevent breaking the Assignments page during feature rollouts. This corrective measure adjusts flag configurations to shadow mode, enabling testing in production-like environments without exposing new behavior to end users. Key commit: b4f9c17f969c56f1b4ec8e03692a43070841fca9 (set in development Engage team FFs to shadow, refs EGG-1526). This reduces risk of accidental broad enablement and supports safer, faster releases.
August 2025
May 2025
2 Commits
May 1, 2025May 2025 monthly summary for instructure/canvas-lms. No new features released this month. Focused on quality improvements including removal of deprecated Ninja icon from the confetti system and a documentation typo fix in the group categories API. These changes reduce asset clutter, prevent unintended visuals in production, and improve API clarity. The work demonstrates disciplined maintenance with clear commit references (EGG-1172) and strong attention to UX consistency.
May 2025
2 Commits
May 1, 2025May 2025 monthly summary for instructure/canvas-lms. No new features released this month. Focused on quality improvements including removal of deprecated Ninja icon from the confetti system and a documentation typo fix in the group categories API. These changes reduce asset clutter, prevent unintended visuals in production, and improve API clarity. The work demonstrates disciplined maintenance with clear commit references (EGG-1172) and strong attention to UX consistency.
Activity
Loading activity data...
Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptRubySVGTypeScriptYAML
Technical Skills
API DocumentationAsset ManagementConfiguration ManagementDocumentationFrontend DevelopmentUI Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline