iOfficeAI/AionUi
Apr 2026 – May 2026
2 Months active
Languages Used
JavaScriptMarkdownTypeScript
Technical Skills
API designFront End DevelopmentNode.jsPlaywrightReactTypeScript
zhuqingyu
PROFILE
Zhuqingyu
Over a two-month period, contributed to iOfficeAI/AionUi by delivering dynamic team management and model selection features across the full stack. Developed real-time workflows for team creation, agent assignment, and model selection, replacing static lists with live MCP-backed queries and enhancing backend reliability. Refactored system architecture to consolidate model handling, migrated legacy modules, and expanded end-to-end and UI test coverage. Improved user experience in TeamChat with seamless onboarding, real-time updates, and robust empty-state handling. Leveraged TypeScript, React, and Node.js to implement backend-driven agent filtering, real-time communication, and accurate thinking-duration displays, ensuring stable, maintainable, and collaborative team operations.
Overall Statistics
Feature vs Bugs
68%Features
Repository Contributions
45Total
Bugs
7
Commits
45
Features
15
Lines of code
62,476
Activity Months2
Your Network
82 peopleSame Organization
@bituniverse.org3
Work History
May 2026
11 Commits • 5 Features
May 1, 2026May 2026 performance highlights for iOfficeAI/AionUi focused on delivering a robust, real-time team management experience, stabilizing ACP model workflows, and improving UX across TeamChat and thinking-duration features. Delivered several reliability and UI polish improvements that enhance business value by accelerating team setup, reducing user-friction, and ensuring accurate real-time collaboration signals.
11 Commits • 5 Features
May 1, 2026May 2026 performance highlights for iOfficeAI/AionUi focused on delivering a robust, real-time team management experience, stabilizing ACP model workflows, and improving UX across TeamChat and thinking-duration features. Delivered several reliability and UI polish improvements that enhance business value by accelerating team setup, reducing user-friction, and ensuring accurate real-time collaboration signals.
May 2026
April 2026
34 Commits • 10 Features
Apr 1, 2026April 2026: Delivered end-to-end Team MCP-enabled features for AionUi, including dynamic Team Model Selection across the full stack (types, IPC, MCP tools, prompts, service, UI). Replaced static model lists with real-time MCP queries, and cleaned up UI as part of scope reduction. Implemented robustness fixes (AcpModelSelector when backend returns empty lists; ACP requests now route with concrete sub-backend names). Ensured correct builtin agent assignment with custom_agent_id during team creation. Architectural refactors consolidated model-list handling and migrated teamEventBus and googleAuthCheck; removed legacy MCP injection, TeamBridge, and initBridge code. Expanded test coverage with UI/e2e tests and updated Team MCP docs (PRD, verification checklist, quick references). Restored e2e tests and improved backend status mappings. These changes improve reliability, reduce backend errors, and accelerate model-selection-driven workflows for team creation and agent deployment.
April 2026
34 Commits • 10 Features
Apr 1, 2026April 2026: Delivered end-to-end Team MCP-enabled features for AionUi, including dynamic Team Model Selection across the full stack (types, IPC, MCP tools, prompts, service, UI). Replaced static model lists with real-time MCP queries, and cleaned up UI as part of scope reduction. Implemented robustness fixes (AcpModelSelector when backend returns empty lists; ACP requests now route with concrete sub-backend names). Ensured correct builtin agent assignment with custom_agent_id during team creation. Architectural refactors consolidated model-list handling and migrated teamEventBus and googleAuthCheck; removed legacy MCP injection, TeamBridge, and initBridge code. Expanded test coverage with UI/e2e tests and updated Team MCP docs (PRD, verification checklist, quick references). Restored e2e tests and improved backend status mappings. These changes improve reliability, reduce backend errors, and accelerate model-selection-driven workflows for team creation and agent deployment.
Activity
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Quality Metrics
Correctness94.8%
Maintainability88.0%
Architecture87.6%
Performance87.0%
AI Usage28.8%
Skills & Technologies
Programming Languages
JavaScriptMarkdownTypeScript
Technical Skills
API designAPI integrationFront End DevelopmentFrontend DevelopmentNodeNode.jsPlaywrightReactTypeScriptUI testingWebSocketbackend developmentbackend integrationdocumentationend-to-end testing
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