instructure/canvas-lms
May 2025 – Oct 2025
6 Months active
Languages Used
GraphQLJavaScriptRubyTypeScriptYAMLHTMLSQLERB
Technical Skills
API DevelopmentBackend DevelopmentFeature Flag ManagementFeature FlaggingFrontend DevelopmentGraphQL
Kai Bjorkman
PROFILE
Kai Bjorkman
Over six months, Kevin Bjorkman enhanced the instructure/canvas-lms repository by delivering features and fixes that improved grading workflows, privacy controls, and UI reliability. He implemented moderated grading and provisional rubric assessments using Ruby on Rails and GraphQL, introducing feature flags and account-scoped permissions to enable safer rollouts. Kevin refactored backend logic for grade calculation accuracy and asynchronous updates, while strengthening frontend integration with JavaScript and TypeScript. His work addressed edge cases in comment attribution, stabilized automated test suites, and improved authorization checks, resulting in more robust, privacy-aware grading experiences and responsive interfaces for instructors and students at scale.
Overall Statistics
Feature vs Bugs
55%Features
Repository Contributions
37Total
Bugs
10
Commits
37
Features
12
Lines of code
2,993
Activity Months6
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
October 2025
4 Commits • 2 Features
Oct 1, 2025October 2025: Delivered core UX and reliability improvements for Canvas LMS across the instructure/canvas-lms repository. Focused on robust handling of edge cases in comments, improved SpeedGrader UX and security, and introduced asynchronous grading updates to boost UI responsiveness for large accounts. These changes reduce risk of timeouts, improve attribution consistency, and enhance grader experience.
4 Commits • 2 Features
Oct 1, 2025October 2025: Delivered core UX and reliability improvements for Canvas LMS across the instructure/canvas-lms repository. Focused on robust handling of edge cases in comments, improved SpeedGrader UX and security, and introduced asynchronous grading updates to boost UI responsiveness for large accounts. These changes reduce risk of timeouts, improve attribution consistency, and enhance grader experience.
October 2025
September 2025
7 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for instructure/canvas-lms focused on delivering user-facing features for moderated grading, stabilizing the UI test suite, and tightening authorization checks for rubric assessments. The work improved business value through more reliable grading, reduced CI noise, and stronger data integrity and security controls.
September 2025
7 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for instructure/canvas-lms focused on delivering user-facing features for moderated grading, stabilizing the UI test suite, and tightening authorization checks for rubric assessments. The work improved business value through more reliable grading, reduced CI noise, and stronger data integrity and security controls.
August 2025
5 Commits • 2 Features
Aug 1, 2025Month: 2025-08 — Instructure Canvas LMS (instructure/canvas-lms) delivered privacy-aware author visibility controls for moderated grading, robustness enhancements to the grading interface, and stabilization of the SpeedGrader test suite. These updates improve privacy compliance, accuracy of grade display and posting, and CI reliability, enabling faster, more trustworthy feedback for instructors and students.
5 Commits • 2 Features
Aug 1, 2025Month: 2025-08 — Instructure Canvas LMS (instructure/canvas-lms) delivered privacy-aware author visibility controls for moderated grading, robustness enhancements to the grading interface, and stabilization of the SpeedGrader test suite. These updates improve privacy compliance, accuracy of grade display and posting, and CI reliability, enabling faster, more trustworthy feedback for instructors and students.
August 2025
July 2025
10 Commits • 2 Features
Jul 1, 2025July 2025: Delivered workflow enhancements and reliability improvements in the canvas-lms codebase. Key features include provisional visibility for rubric assessments and comments within moderated grading, and anonymity controls for moderated assignments, enhancing data privacy and compliance. Major fixes improved grading reliability (unsubmitted state after grade removal, max-graders handling, and rounding precision), ensured media-related data integrity, and corrected Speed Grader keyboard behavior when RCE Lite is enabled. These changes reduce risk, improve user experience, and accelerate accurate grading and moderation across Canvas.
July 2025
10 Commits • 2 Features
Jul 1, 2025July 2025: Delivered workflow enhancements and reliability improvements in the canvas-lms codebase. Key features include provisional visibility for rubric assessments and comments within moderated grading, and anonymity controls for moderated assignments, enhancing data privacy and compliance. Major fixes improved grading reliability (unsubmitted state after grade removal, max-graders handling, and rounding precision), ensured media-related data integrity, and corrected Speed Grader keyboard behavior when RCE Lite is enabled. These changes reduce risk, improve user experience, and accelerate accurate grading and moderation across Canvas.
June 2025
5 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for instructure/canvas-lms. Focused on improving grading workflows and API visibility for graders. Key features delivered include moderated grading in SpeedGrader 2 (SG2) via feature flag with on-access moderation grader initialization and a refactor eliminating the grading_role prop from SG2 context to simplify data flow. GraphQL API enhancements to AssignmentType (grading_role and provisional_grading_locked) to surface user grading roles and provisional restrictions, with accompanying tests. These changes enable configurable moderation, clearer permission boundaries, and better test coverage, driving faster, more reliable grading experiences for instructors and TAs.
5 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for instructure/canvas-lms. Focused on improving grading workflows and API visibility for graders. Key features delivered include moderated grading in SpeedGrader 2 (SG2) via feature flag with on-access moderation grader initialization and a refactor eliminating the grading_role prop from SG2 context to simplify data flow. GraphQL API enhancements to AssignmentType (grading_role and provisional_grading_locked) to surface user grading roles and provisional restrictions, with accompanying tests. These changes enable configurable moderation, clearer permission boundaries, and better test coverage, driving faster, more reliable grading experiences for instructors and TAs.
June 2025
May 2025
6 Commits • 3 Features
May 1, 2025May 2025 (2025-05) monthly summary for instructure/canvas-lms focused on strengthening gradebook reliability, feature flag governance, and data accuracy to improve user experience and trust in grading outcomes. Highlights include feature deliveries with targeted rollouts, targeted bug fixes to ensure robustness, and instrumentation to support future optimization. Key features delivered and corroborating work: - Hide zero-point assignments in gradebook behind a feature flag: updates to the GraphQL interface for assignments, frontend filter implementation, and tests. Commit: d7c3d6b533c2ac4973aa87a4e11cd1c2defacb14. - Auto-captioning feature flag improvements: makes the flag account-scoped and enabled by default; adds a DataDog metric to track usage. Commit: 76d04eeac969ad8a632296ee9cd5003acc7df0d2. - Moderated grading in SpeedGrader: introduces a new feature flag with default hidden in development/CI. Commit: 04e6d81ecf322eacddfd33b5eecf55101a854aa9. Major bugs fixed: - Gradebook robustness improvements: null pointer check for submission_record and broader rubric association handling to support cross-course rubric saves. Commits: 557bc7488e88502cb13ec29eb8dde7b2e62ae445; 9a811a6fb37051726a6ba76a589557f8b30ab9bc. - Accurate grade rounding for weighted groups: aligns frontend rounding with backend calculations for weighted assignment groups. Commit: 7b9f7e898fb585bd1cb28913541d15e1f68acad2. Overall impact and accomplishments: - Improved stability and predictability of grade calculations and display, reducing edge-case errors and inconsistent rounding across courses. - Safer feature rollouts via per-account feature flags and environment-aware visibility, with increased observability through DataDog metrics. - Strengthened testing coverage around gradebook features and rubric flows, enabling faster iteration and reliability across deployments. Technologies and skills demonstrated: - GraphQL interface evolution and corresponding frontend integration plus tests; null-safety and defensive coding patterns; cross-course Rubric association handling. - Feature flags governance (account-scoped, environment-aware) and observability instrumentation (DataDog metrics). - Data-driven improvements to grading logic and UI consistency for weighted groups.
May 2025
6 Commits • 3 Features
May 1, 2025May 2025 (2025-05) monthly summary for instructure/canvas-lms focused on strengthening gradebook reliability, feature flag governance, and data accuracy to improve user experience and trust in grading outcomes. Highlights include feature deliveries with targeted rollouts, targeted bug fixes to ensure robustness, and instrumentation to support future optimization. Key features delivered and corroborating work: - Hide zero-point assignments in gradebook behind a feature flag: updates to the GraphQL interface for assignments, frontend filter implementation, and tests. Commit: d7c3d6b533c2ac4973aa87a4e11cd1c2defacb14. - Auto-captioning feature flag improvements: makes the flag account-scoped and enabled by default; adds a DataDog metric to track usage. Commit: 76d04eeac969ad8a632296ee9cd5003acc7df0d2. - Moderated grading in SpeedGrader: introduces a new feature flag with default hidden in development/CI. Commit: 04e6d81ecf322eacddfd33b5eecf55101a854aa9. Major bugs fixed: - Gradebook robustness improvements: null pointer check for submission_record and broader rubric association handling to support cross-course rubric saves. Commits: 557bc7488e88502cb13ec29eb8dde7b2e62ae445; 9a811a6fb37051726a6ba76a589557f8b30ab9bc. - Accurate grade rounding for weighted groups: aligns frontend rounding with backend calculations for weighted assignment groups. Commit: 7b9f7e898fb585bd1cb28913541d15e1f68acad2. Overall impact and accomplishments: - Improved stability and predictability of grade calculations and display, reducing edge-case errors and inconsistent rounding across courses. - Safer feature rollouts via per-account feature flags and environment-aware visibility, with increased observability through DataDog metrics. - Strengthened testing coverage around gradebook features and rubric flows, enabling faster iteration and reliability across deployments. Technologies and skills demonstrated: - GraphQL interface evolution and corresponding frontend integration plus tests; null-safety and defensive coding patterns; cross-course Rubric association handling. - Feature flags governance (account-scoped, environment-aware) and observability instrumentation (DataDog metrics). - Data-driven improvements to grading logic and UI consistency for weighted groups.
Activity
Loading activity data...
Quality Metrics
Correctness92.6%
Maintainability90.6%
Architecture85.6%
Performance83.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
ERBGraphQLHTMLI18nJavaScriptRubySQLTypeScriptYAML
Technical Skills
API DesignAPI DevelopmentBackend DevelopmentBackend IntegrationBackground JobsBigDecimalDatabase ManagementError HandlingFeature Flag ManagementFeature FlaggingFront End DevelopmentFrontend DevelopmentFull Stack DevelopmentGrade Calculation LogicGraphQL
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline