instructure/canvas-lms
May 2025 – Oct 2025
4 Months active
Languages Used
RubySQLJavaScriptYAML
Technical Skills
API DevelopmentBackend DevelopmentRuby on RailsContent ManagementFeature ImplementationFeature Flag Management
Nate Armstrong
PROFILE
Nate Armstrong
Nathan Armstrong contributed to the instructure/canvas-lms repository by building targeted backend features for Canvas Career and Horizon courses, focusing on API development, content management, and feature flag management using Ruby on Rails, JavaScript, and SQL. He delivered APIs for filtering courses by copied assets and managing estimated durations for assignments and files, enabling granular content governance and workload planning. Nathan also implemented robust input validation for Horizon course page creation, reducing configuration errors. His work included introducing feature flags to support staged UI/UX rollouts, demonstrating a methodical approach to maintainability, conditional enablement, and backward compatibility across evolving course management workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
5
Lines of code
685
Activity Months4
Your Network
352 peopleSame Organization
@instructure.com184
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Adam_MikulasMember
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Shared Repositories
168
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Akos HorvathMember
Alexandre DosSantosMember
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Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10: Delivered foundational capability for Canvas Career with feature flags enabling future course navigation redesigns and native navigation features. Implemented two new flags and wired them to the career controller, establishing a controlled release path for upcoming UI/UX changes.
1 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10: Delivered foundational capability for Canvas Career with feature flags enabling future course navigation redesigns and native navigation features. Implemented two new flags and wired them to the career controller, establishing a controlled release path for upcoming UI/UX changes.
October 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for instructure/canvas-lms: Implemented Horizon Course Page Creation Robustness by defaulting the editing_roles parameter to 'teachers' when not provided and adding validation to ensure editing_roles is always set. This change reduces page creation failures and misconfigurations for Horizon course types, enhancing reliability for instructors and course admins.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for instructure/canvas-lms: Implemented Horizon Course Page Creation Robustness by defaulting the editing_roles parameter to 'teachers' when not provided and adding validation to ensure editing_roles is always set. This change reduces page creation failures and misconfigurations for Horizon course types, enhancing reliability for instructors and course admins.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for instructure/canvas-lms focusing on key features delivered, major fixes, impact and technical accomplishments. Highlights center on the CLX feature for in-place sharing/import of module items across Canvas courses, with attention to backward compatibility and cross-course content migration.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for instructure/canvas-lms focusing on key features delivered, major fixes, impact and technical accomplishments. Highlights center on the CLX feature for in-place sharing/import of module items across Canvas courses, with attention to backward compatibility and cross-course content migration.
June 2025
May 2025
3 Commits • 2 Features
May 1, 2025In May 2025, two Canvas Career–specific API features were delivered in instructure/canvas-lms, enabling improved content governance and workload planning for Career customers. Focused API work, combined with clear traceability and conditional feature enablement, laid the groundwork for targeted capabilities while maintaining API stability.
May 2025
3 Commits • 2 Features
May 1, 2025In May 2025, two Canvas Career–specific API features were delivered in instructure/canvas-lms, enabling improved content governance and workload planning for Career customers. Focused API work, combined with clear traceability and conditional feature enablement, laid the groundwork for targeted capabilities while maintaining API stability.
Activity
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Quality Metrics
Correctness96.6%
Maintainability90.0%
Architecture83.4%
Performance86.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptRubySQLYAML
Technical Skills
API DevelopmentBackend DevelopmentContent ManagementFeature Flag ManagementFeature ImplementationRuby on Rails
Repositories Contributed To
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