instructure/canvas-lms
Aug 2025 – Sep 2025
2 Months active
Languages Used
RubyYAML
Technical Skills
AI IntegrationAPI DevelopmentAPI IntegrationBackend DevelopmentLLM IntegrationPerformance Optimization
David Kuthi
PROFILE
David Kuthi
David Kuthi developed AI-assisted rubric generation features for the instructure/canvas-lms repository, focusing on enhancing instructor-facing workflows. Over two months, he implemented backend improvements in Ruby and YAML, integrating large language models to enable rubric regeneration from user input, support educational standards, and clarify rubric language across grade levels. His work included performance optimization, prompt engineering, and expanded automated test coverage to ensure reliability and maintainability. By refining prompt handling and updating instructions for rubric criteria, David delivered more accurate and consistent AI-powered assessments. The depth of his contributions addressed both technical robustness and practical usability for educators.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
2,179
Activity Months2
Your Network
352 peopleSame Organization
@instructure.com184
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168
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Work History
September 2025
1 Commits • 1 Features
Sep 1, 20252025-09 Monthly Summary for instructure/canvas-lms: Delivered targeted improvements to AI-powered rubric generation by refining prompts, updating instructions for generating and modifying rubric criteria and ratings, and expanding test coverage for AI interactions. This work enables more accurate, consistent rubric regeneration, faster iteration cycles, and a more reliable AI-assisted assessment workflow.
1 Commits • 1 Features
Sep 1, 20252025-09 Monthly Summary for instructure/canvas-lms: Delivered targeted improvements to AI-powered rubric generation by refining prompts, updating instructions for generating and modifying rubric criteria and ratings, and expanding test coverage for AI interactions. This work enables more accurate, consistent rubric regeneration, faster iteration cycles, and a more reliable AI-assisted assessment workflow.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025Performance-focused monthly delivery for Canvas LMS, centering on AI-assisted rubric authoring. Implemented AI Rubric Generation Enhancement with standards alignment and clearer rubric language across grade levels, backed by backend refactors and better prompt handling to boost reliability and efficiency. All work is scoped to ensure instructor-facing value and maintainability.
August 2025
2 Commits • 1 Features
Aug 1, 2025Performance-focused monthly delivery for Canvas LMS, centering on AI-assisted rubric authoring. Implemented AI Rubric Generation Enhancement with standards alignment and clearer rubric language across grade levels, backed by backend refactors and better prompt handling to boost reliability and efficiency. All work is scoped to ensure instructor-facing value and maintainability.
Activity
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Quality Metrics
Correctness90.0%
Maintainability83.4%
Architecture80.0%
Performance76.6%
AI Usage86.6%
Skills & Technologies
Programming Languages
RubyYAML
Technical Skills
AI IntegrationAI Prompt EngineeringAPI DevelopmentAPI IntegrationBackend DevelopmentLLM ConfigurationLLM IntegrationPerformance OptimizationRefactoringRuby on RailsTesting
Repositories Contributed To
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