arthur-ai/arthur-engine
Nov 2025 – Jun 2026
8 Months active
Languages Used
JavaScriptTypeScriptJSONYAML
Technical Skills
API IntegrationAPI integrationFront End DevelopmentFull Stack DevelopmentReactState Management
Łukasz Myśliwiec
PROFILE
Łukasz Myśliwiec
Worked on the arthur-ai/arthur-engine repository, delivering a range of features that improved data workflows, traceability, and user onboarding over eight months. Built robust UI enhancements for tracing, dataset management, and experiment creation using React and TypeScript, with a focus on state management and analytics integration. Implemented guided tours, onboarding flows, and real-time evaluation tools to streamline user experience and accelerate experimentation. Addressed reliability through dependency management, bug fixes, and validation improvements. Integrated cloud providers and analytics tracking, enabling better debugging and business insights. The work demonstrated depth in full stack development, UI/UX design, and collaborative, iterative delivery.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
48Total
Bugs
4
Commits
48
Features
24
Lines of code
57,561
Activity Months8
Your Network
19 peopleShared Repositories
19
alex380125Member
Aneesh Singh RajoriyaMember
Arthur EngineeringMember
GitHub CIMember
Ibrahim AbouhashishMember
JonathanMember
Kacper KrupinskiMember
Kacper KrupinskiMember
madeleinelaneMember
Work History
June 2026
6 Commits • 2 Features
Jun 1, 2026June 2026: Arthur Engine delivered major guided-tour enhancements, bug fixes, and analytics refactor to improve onboarding experience, reliability, and debugging visibility. The work focuses on user guidance quality, UI stability, and cross-system analytics coherence.
6 Commits • 2 Features
Jun 1, 2026June 2026: Arthur Engine delivered major guided-tour enhancements, bug fixes, and analytics refactor to improve onboarding experience, reliability, and debugging visibility. The work focuses on user guidance quality, UI stability, and cross-system analytics coherence.
June 2026
May 2026
3 Commits • 3 Features
May 1, 2026May 2026 — Arthur Engine: Focused on delivering scalable task-management UX, onboarding capabilities for new users, and guided experiment creation workflows. Efforts centered on business value (speed to value and user retention) and technical reliability across large task lists.
May 2026
3 Commits • 3 Features
May 1, 2026May 2026 — Arthur Engine: Focused on delivering scalable task-management UX, onboarding capabilities for new users, and guided experiment creation workflows. Efforts centered on business value (speed to value and user retention) and technical reliability across large task lists.
April 2026
4 Commits • 3 Features
Apr 1, 2026April 2026 monthly summary for arthur-engine. Delivered three key features focused on UX, navigation, and data visibility. No major bugs fixed this month. Impact: reduced configuration errors and friction in experiment setup, clearer navigation for RAG usage, and improved data visibility with an always-visible Row ID and enhanced search. Demonstrated frontend UX improvements, routing enhancements, and data table UI refinements with strong traceability from commits.
4 Commits • 3 Features
Apr 1, 2026April 2026 monthly summary for arthur-engine. Delivered three key features focused on UX, navigation, and data visibility. No major bugs fixed this month. Impact: reduced configuration errors and friction in experiment setup, clearer navigation for RAG usage, and improved data visibility with an always-visible Row ID and enhanced search. Demonstrated frontend UX improvements, routing enhancements, and data table UI refinements with strong traceability from commits.
April 2026
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 — Arthur Engine: Stability, UX, and build reliability improvements that accelerate experimentation and reduce friction. Key work included: 1) Playground navigation reliability fix to ensure back navigation returns to prompts tab; 2) Prompts management UI enhancements including a create-experiment modal and version selector pagination; 3) Dependency pinning to lock package.json versions for deterministic builds. Result: smoother UX, faster iteration on experiments, and more predictable releases. Technologies demonstrated: React frontend patterns, modal/dialog design, pagination UX, and strict dependency management.
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 — Arthur Engine: Stability, UX, and build reliability improvements that accelerate experimentation and reduce friction. Key work included: 1) Playground navigation reliability fix to ensure back navigation returns to prompts tab; 2) Prompts management UI enhancements including a create-experiment modal and version selector pagination; 3) Dependency pinning to lock package.json versions for deterministic builds. Result: smoother UX, faster iteration on experiments, and more predictable releases. Technologies demonstrated: React frontend patterns, modal/dialog design, pagination UX, and strict dependency management.
February 2026
5 Commits • 3 Features
Feb 1, 2026February 2026 — Performance highlights for arthur-engine focused on accelerating data transformation workflows, improving traceability, and strengthening analytics. Key UX and data capabilities were delivered: transforms management enhancements with pagination and a UI for transforming/matching dataset columns to relevant variables; evaluation inputs view in the results table to support test-case analyses; dataset analytics tracking to capture user interactions for better product insights; and a bug fix ensuring tabs remain visible when data is available to avoid onboarding disruptions. These changes collectively improve time-to-insight, reduce misconfiguration risk, and provide richer data for product and business decisions. Technologies/skills demonstrated include front-end UI enhancements (React/TypeScript), pagination and mapping UI, analytics instrumentation, and robust bug fixing for improved user onboarding.
5 Commits • 3 Features
Feb 1, 2026February 2026 — Performance highlights for arthur-engine focused on accelerating data transformation workflows, improving traceability, and strengthening analytics. Key UX and data capabilities were delivered: transforms management enhancements with pagination and a UI for transforming/matching dataset columns to relevant variables; evaluation inputs view in the results table to support test-case analyses; dataset analytics tracking to capture user interactions for better product insights; and a bug fix ensuring tabs remain visible when data is available to avoid onboarding disruptions. These changes collectively improve time-to-insight, reduce misconfiguration risk, and provide richer data for product and business decisions. Technologies/skills demonstrated include front-end UI enhancements (React/TypeScript), pagination and mapping UI, analytics instrumentation, and robust bug fixing for improved user onboarding.
February 2026
January 2026
13 Commits • 6 Features
Jan 1, 2026January 2026 monthly summary for arthur-engine (arthur-ai/arthur-engine). Focused on delivering key features, improving observability, and strengthening reliability to drive business value. Highlights include expanding experimentation capabilities, broader cloud-provider integration, and UI/observability enhancements, with solid validation and UI improvements.
January 2026
13 Commits • 6 Features
Jan 1, 2026January 2026 monthly summary for arthur-engine (arthur-ai/arthur-engine). Focused on delivering key features, improving observability, and strengthening reliability to drive business value. Highlights include expanding experimentation capabilities, broader cloud-provider integration, and UI/observability enhancements, with solid validation and UI improvements.
December 2025
5 Commits • 3 Features
Dec 1, 2025December 2025 (month: 2025-12) monthly summary for arthur-engine focused on delivering features that improve traceability, model governance, and tooling integration, while laying groundwork for faster debugging and more reliable evaluations. The team completed three major capabilities with clear business value and technical depth.
5 Commits • 3 Features
Dec 1, 2025December 2025 (month: 2025-12) monthly summary for arthur-engine focused on delivering features that improve traceability, model governance, and tooling integration, while laying groundwork for faster debugging and more reliable evaluations. The team completed three major capabilities with clear business value and technical depth.
December 2025
November 2025
8 Commits • 2 Features
Nov 1, 2025November 2025 — arthur-engine (arthur-ai/arthur-engine): Delivered major improvements to tracing observability and dataset workflows, driving faster insights and data-driven decisions. Key features delivered enhanced tracing UI with rich filtering, time-range selection, token count and cost tooltips, pagination, improved session/span details, and annotations, along with date formatting fixes to ensure reliable displays. Also rolled out dataset extraction and management from traces, enabling users to add selected spans to a dataset via a new drawer, configurator, and preview table, plus UX improvements for dataset configuration and API keys management with a span-selection search feature. Fixes included addressing tracing feedback and a timestamp forcing bug to improve data accuracy. Overall impact includes improved traceability, faster time-to-insight, and more robust data workflows. Technologies/skills demonstrated include React/TypeScript frontend, UI/UX enhancements, state management, dataset management UX, and cross-team collaboration.
November 2025
8 Commits • 2 Features
Nov 1, 2025November 2025 — arthur-engine (arthur-ai/arthur-engine): Delivered major improvements to tracing observability and dataset workflows, driving faster insights and data-driven decisions. Key features delivered enhanced tracing UI with rich filtering, time-range selection, token count and cost tooltips, pagination, improved session/span details, and annotations, along with date formatting fixes to ensure reliable displays. Also rolled out dataset extraction and management from traces, enabling users to add selected spans to a dataset via a new drawer, configurator, and preview table, plus UX improvements for dataset configuration and API keys management with a span-selection search feature. Fixes included addressing tracing feedback and a timestamp forcing bug to improve data accuracy. Overall impact includes improved traceability, faster time-to-insight, and more robust data workflows. Technologies/skills demonstrated include React/TypeScript frontend, UI/UX enhancements, state management, dataset management UX, and cross-team collaboration.
Activity
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Quality Metrics
Correctness88.4%
Maintainability82.4%
Architecture83.0%
Performance82.4%
AI Usage38.8%
Skills & Technologies
Programming Languages
JSONJavaScriptTypeScriptYAML
Technical Skills
API IntegrationAPI integrationAWS CloudFormationData VisualizationForm HandlingFront End DevelopmentFrontend DevelopmentFull Stack DevelopmentJavaScriptMaterial-UINode.jsReactState ManagementTypeScriptUI Development
Repositories Contributed To
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