instructure/canvas-lms
Apr 2025 – Oct 2025
6 Months active
Languages Used
HandlebarsJavaScriptRubySQLTypeScriptYAMLCSSGraphQL
Technical Skills
Backend DevelopmentData IntegrityDatabase ManagementDatabase MigrationFrontend DevelopmentRuby on Rails
Jason Gillett
PROFILE
Jason Gillett
Jason Gillett contributed to the instructure/canvas-lms repository by building and enhancing features focused on student outcome analytics, data integrity, and user experience. He developed scalable backend services for outcome rollup calculations, integrating Ruby on Rails service patterns and feature flag management to enable safe, incremental rollouts. Jason improved frontend clarity and accessibility using React and SCSS, delivering UI enhancements such as context tags and configurable gradebook displays. His work included robust API development, GraphQL schema extensions, and comprehensive end-to-end testing, resulting in more reliable data reporting, improved cross-browser UI consistency, and a maintainable codebase that supports future analytics expansion.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
36Total
Bugs
4
Commits
36
Features
13
Lines of code
7,595
Activity Months6
Your Network
352 peopleSame Organization
@instructure.com184
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Shared Repositories
168
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Work History
October 2025
12 Commits • 3 Features
Oct 1, 2025Performance summary for 2025-10: Key features delivered span clarity, scalability, and accessibility across the Canvas LMS codebase. Notable progress includes (1) Outcome Context Tag UI across all outcome-related views, enabling a clear distinction between Institution (Account) and Course level outcomes in the outcome management UI, Find Outcome view, and rubric context; (2) Rollup calculation architecture and performance improvements, consolidating rollup logic into a shared RollupCommonService, adding a course-scoped rollup service, introducing stored rollups, and a feature flag to control rollout; (3) Learning Mastery Gradebook enhancements, including user-controlled name display order and accessibility improvements by removing an extraneous anchor in the export UI. These changes drive data clarity, faster rollups, and better accessibility for end users, with a foundation for scalable, cross-course rollups.
12 Commits • 3 Features
Oct 1, 2025Performance summary for 2025-10: Key features delivered span clarity, scalability, and accessibility across the Canvas LMS codebase. Notable progress includes (1) Outcome Context Tag UI across all outcome-related views, enabling a clear distinction between Institution (Account) and Course level outcomes in the outcome management UI, Find Outcome view, and rubric context; (2) Rollup calculation architecture and performance improvements, consolidating rollup logic into a shared RollupCommonService, adding a course-scoped rollup service, introducing stored rollups, and a feature flag to control rollout; (3) Learning Mastery Gradebook enhancements, including user-controlled name display order and accessibility improvements by removing an extraneous anchor in the export UI. These changes drive data clarity, faster rollups, and better accessibility for end users, with a foundation for scalable, cross-course rollups.
October 2025
September 2025
4 Commits • 3 Features
Sep 1, 2025September 2025 — Instructure Canvas LMS (instructure/canvas-lms) Key features delivered and major fixes: - Differentiation Tags documentation: delivered comprehensive docs including overview, architecture, data models, API integration, and usage guidelines. This clarifies feature scope for developers and partners, accelerating adoption and reducing integration questions. Commits: f87823f4087c170f33bb48ac2bb586bcf19db928 - Safari-specific CSS alignment bug fix: corrected vertical alignment of submission type checkboxes and ensured assign-to menu display; reduces cross-browser UI regressions and user friction in assignment submissions. Commit: 95a0996727196131cf8ca6fff340d72857530470 - Account GraphQL workflow_state field: added workflow_state to Account type to reflect deletion status; included tests to verify field accessibility and correct reporting for active and deleted accounts. Commit: fa4aa1098d607aa01ef4777468b63de26ad94df2 - Student Outcome Rollup scaffolding: added calculate_for_course_outcome method scaffolding in StudentOutcomeRollupCalculationService to unblock work and guide future rollups for a specific course outcome; currently empty with TODOs. Commit: 1db5807f4a6a8d612414722939d3e97ba51ee847 Overall impact and accomplishments: These changes improve developer experience, API clarity, reliability, and readiness for upcoming analytics features; enable faster iteration and safer data reporting; improve cross-browser UI consistency; and create documented foundations for future course-outcome analytics. Technologies/skills demonstrated: Documentation craftsmanship, CSS/UI debugging, GraphQL schema extension, unit/integration tests for API fields, and service scaffolding with architectural guidance. Business value: Clearer API semantics and docs reduce onboarding time and support questions; UI stability across browsers improves user satisfaction; and scaffolding accelerates delivery of course-outcome analytics and related reporting.
September 2025
4 Commits • 3 Features
Sep 1, 2025September 2025 — Instructure Canvas LMS (instructure/canvas-lms) Key features delivered and major fixes: - Differentiation Tags documentation: delivered comprehensive docs including overview, architecture, data models, API integration, and usage guidelines. This clarifies feature scope for developers and partners, accelerating adoption and reducing integration questions. Commits: f87823f4087c170f33bb48ac2bb586bcf19db928 - Safari-specific CSS alignment bug fix: corrected vertical alignment of submission type checkboxes and ensured assign-to menu display; reduces cross-browser UI regressions and user friction in assignment submissions. Commit: 95a0996727196131cf8ca6fff340d72857530470 - Account GraphQL workflow_state field: added workflow_state to Account type to reflect deletion status; included tests to verify field accessibility and correct reporting for active and deleted accounts. Commit: fa4aa1098d607aa01ef4777468b63de26ad94df2 - Student Outcome Rollup scaffolding: added calculate_for_course_outcome method scaffolding in StudentOutcomeRollupCalculationService to unblock work and guide future rollups for a specific course outcome; currently empty with TODOs. Commit: 1db5807f4a6a8d612414722939d3e97ba51ee847 Overall impact and accomplishments: These changes improve developer experience, API clarity, reliability, and readiness for upcoming analytics features; enable faster iteration and safer data reporting; improve cross-browser UI consistency; and create documented foundations for future course-outcome analytics. Technologies/skills demonstrated: Documentation craftsmanship, CSS/UI debugging, GraphQL schema extension, unit/integration tests for API fields, and service scaffolding with architectural guidance. Business value: Clearer API semantics and docs reduce onboarding time and support questions; UI stability across browsers improves user satisfaction; and scaffolding accelerates delivery of course-outcome analytics and related reporting.
August 2025
8 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for the canvas-lms repo (instructure/canvas-lms). Focus this month was on delivering performance-oriented rollups features, improving observability, expanding end-to-end testing for critical integrations, and stabilizing the test suite. Highlights below tie directly to business value: faster, safer rollup propagation; measurable endpoint performance; higher confidence in LTI tool integration; and more reliable CI. Key achievements for 2025-08: - Outcome Rollups: Propagation, Recalculation, and Read Path Flags: Implemented a propagation feature flag (hidden/shadow rollout), wired enqueue_rollup_calculation, added change callbacks for LearningOutcomeResult, and introduced a read-flag path to switch from calculations to rollup-table reads for performance and safety. This enables incremental rollout, reduces peak latency on rollup reads, and supports safe production validation. (Commits include 712183f197, e2d7d43ea0, 67abd71285, 022513cffe, 6a3049d482) - Observability: Instrument Rollups Endpoint Metrics: Added runtime metrics for user_rollups_json and CSV generation, gated by the feature flag, with accompanying tests to validate metric collection. This provides clear visibility into endpoint performance and supports data-driven capacity planning. (Commit 2ac2b6631f) - LTI Tool Integration: End-to-End Test Coverage: Introduced end-to-end test coverage to verify selecting an external tool from an LTI list populates the URL and title correctly and avoids error messages, increasing confidence in LTI tool integration. - Bug: Flaky Test in GroupAndMembershipImporter Fixed: Replaced a brittle element-order assertion with a robust array-content check to ensure test stability regardless of element ordering, reducing flaky test noise. Overall impact and accomplishments: - Business value: Faster rollup reads, lower risk feature rollout, improved observability for performance, and more reliable integration tests, contributing to improved user experience and faster feedback cycles for product and infra teams. - Technical achievements: Feature flags, enqueue/background processing, callback hooks, endpoint instrumentation, feature-gated metrics, comprehensive E2E testing, and resilient test design.
8 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for the canvas-lms repo (instructure/canvas-lms). Focus this month was on delivering performance-oriented rollups features, improving observability, expanding end-to-end testing for critical integrations, and stabilizing the test suite. Highlights below tie directly to business value: faster, safer rollup propagation; measurable endpoint performance; higher confidence in LTI tool integration; and more reliable CI. Key achievements for 2025-08: - Outcome Rollups: Propagation, Recalculation, and Read Path Flags: Implemented a propagation feature flag (hidden/shadow rollout), wired enqueue_rollup_calculation, added change callbacks for LearningOutcomeResult, and introduced a read-flag path to switch from calculations to rollup-table reads for performance and safety. This enables incremental rollout, reduces peak latency on rollup reads, and supports safe production validation. (Commits include 712183f197, e2d7d43ea0, 67abd71285, 022513cffe, 6a3049d482) - Observability: Instrument Rollups Endpoint Metrics: Added runtime metrics for user_rollups_json and CSV generation, gated by the feature flag, with accompanying tests to validate metric collection. This provides clear visibility into endpoint performance and supports data-driven capacity planning. (Commit 2ac2b6631f) - LTI Tool Integration: End-to-End Test Coverage: Introduced end-to-end test coverage to verify selecting an external tool from an LTI list populates the URL and title correctly and avoids error messages, increasing confidence in LTI tool integration. - Bug: Flaky Test in GroupAndMembershipImporter Fixed: Replaced a brittle element-order assertion with a robust array-content check to ensure test stability regardless of element ordering, reducing flaky test noise. Overall impact and accomplishments: - Business value: Faster rollup reads, lower risk feature rollout, improved observability for performance, and more reliable integration tests, contributing to improved user experience and faster feedback cycles for product and infra teams. - Technical achievements: Feature flags, enqueue/background processing, callback hooks, endpoint instrumentation, feature-gated metrics, comprehensive E2E testing, and resilient test design.
August 2025
July 2025
8 Commits • 2 Features
Jul 1, 2025Monthly performance summary for 2025-07 for repository instructure/canvas-lms. The month focused on delivering end-to-end data-driven features for student outcomes, improving moderation workflows, and tightening data quality with validation fixes.
July 2025
8 Commits • 2 Features
Jul 1, 2025Monthly performance summary for 2025-07 for repository instructure/canvas-lms. The month focused on delivering end-to-end data-driven features for student outcomes, improving moderation workflows, and tightening data quality with validation fixes.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for instructure/canvas-lms: Delivered foundational scaffolding for the Student Outcome Rollups Calculation Service. Implemented the service skeleton with class, initializer, main call method, and private helpers for loading data, generating rollups, and storing results. Added tests to verify instantiation and invocation. This groundwork enables a scalable rollups pipeline and future analytics across courses, aligning with business goals to improve student outcome insights and reporting. Commit 14524be50b13c7a18995a7b050348be0c7d454b6 documents the skeleton work.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for instructure/canvas-lms: Delivered foundational scaffolding for the Student Outcome Rollups Calculation Service. Implemented the service skeleton with class, initializer, main call method, and private helpers for loading data, generating rollups, and storing results. Added tests to verify instantiation and invocation. This groundwork enables a scalable rollups pipeline and future analytics across courses, aligning with business goals to improve student outcome insights and reporting. Commit 14524be50b13c7a18995a7b050348be0c7d454b6 documents the skeleton work.
June 2025
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 highlights for instructure/canvas-lms focused on delivering user-facing productivity features and strengthening data integrity. Key features delivered include a bulk tagging enhancement with a 'select all' option for differentiating tags across course rosters, supporting per-page deselection and correct behavior across pagination. Major data integrity work fixed a desynchronization issue by syncing the has_sub_assignments flag on SubAssignment via a create/delete callback and a migration to align historical data. These efforts reduce instructor tagging effort, increase accuracy of sub-assignments, and improve checkpoint reliability for course data. Technologies demonstrated include frontend UX improvement, backend data integrity controls (callbacks and migrations), and end-to-end ownership across feature delivery.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 highlights for instructure/canvas-lms focused on delivering user-facing productivity features and strengthening data integrity. Key features delivered include a bulk tagging enhancement with a 'select all' option for differentiating tags across course rosters, supporting per-page deselection and correct behavior across pagination. Major data integrity work fixed a desynchronization issue by syncing the has_sub_assignments flag on SubAssignment via a create/delete callback and a migration to align historical data. These efforts reduce instructor tagging effort, increase accuracy of sub-assignments, and improve checkpoint reliability for course data. Technologies demonstrated include frontend UX improvement, backend data integrity controls (callbacks and migrations), and end-to-end ownership across feature delivery.
Activity
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Quality Metrics
Correctness94.8%
Maintainability90.6%
Architecture86.6%
Performance83.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSGraphQLHTMLHandlebarsJSXJavaScriptRubySCSSSQLShell
Technical Skills
API DevelopmentAPI IntegrationAccessibilityAsynchronous ProcessingBackend DevelopmentCSSCode OrganizationCode ReadabilityComponent DevelopmentComponent RefactoringConfiguration ManagementData AggregationData IntegrityData ProcessingDatabase Integration
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline