msa-ez/platform
Feb 2025 – Apr 2026
14 Months active
Languages Used
JavaScriptVueCSSHTMLVue.jsYAMLXMLSCSS
Technical Skills
Frontend DevelopmentVue.jsAI IntegrationAPI IntegrationBPMN VisualizationCode Generation
seongwonyang
PROFILE
Seongwonyang
Over 14 months, contributed to the msa-ez/platform repository by building and refining a model-driven development platform that streamlines requirements analysis, event storming, and code generation. Leveraged JavaScript, Vue.js, and Python to deliver features such as AI-assisted modeling, BPMN and UML diagram editors, recursive user story generation, and automated document exports to PDF, Word, and PowerPoint. Integrated LangGraph for advanced code and sitemap processing, implemented robust permission and collaboration workflows, and enhanced deployment with Docker and CI/CD pipelines. Addressed data integrity and UI reliability through targeted bug fixes, while enabling scalable AI integration and secure API gateway configuration.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
160Total
Bugs
24
Commits
160
Features
56
Lines of code
1,295,379
Activity Months14
Your Network
20 peopleSame Organization
@uengine.org8
Shared Repositories
12
KimsanghoonMember
dhtns818Member
dimsomMember
dimsomMember
jaehyeongMember
Jinyoung JangMember
kyusooMember
SamuniMember
양성원Member
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026Month: 2026-04 | Focus: deliverables, impact, and technical growth for performance review. Delivered P-GPT LLM Gateway Integration and Configuration on msa-ez/platform, establishing enterprise-grade access to the company’s LLM gateway with API key management and model configuration options. This work provides a secure, configurable path for integrating external LLM capabilities and lays the foundation for scalable AI features across products.
1 Commits • 1 Features
Apr 1, 2026Month: 2026-04 | Focus: deliverables, impact, and technical growth for performance review. Delivered P-GPT LLM Gateway Integration and Configuration on msa-ez/platform, establishing enterprise-grade access to the company’s LLM gateway with API key management and model configuration options. This work provides a secure, configurable path for integrating external LLM capabilities and lays the foundation for scalable AI features across products.
April 2026
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026: Deployment Infrastructure Upgrade and Template Migration Setup for msa-ez/platform. Consolidated backend deployment improvements (Docker configurations, CI/CD via GitHub Actions, Firebase hosting workflows), introduced AceBase database connection, and updated the template migration repository URL to streamline deployments and migrations. This work reduces manual steps, improves deployment reliability, and accelerates migration readiness.
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026: Deployment Infrastructure Upgrade and Template Migration Setup for msa-ez/platform. Consolidated backend deployment improvements (Docker configurations, CI/CD via GitHub Actions, Firebase hosting workflows), introduced AceBase database connection, and updated the template migration repository URL to streamline deployments and migrations. This work reduces manual steps, improves deployment reliability, and accelerates migration readiness.
January 2026
56 Commits • 16 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on key features delivered, major bugs fixed, overall impact, and technologies demonstrated. Highlights include AceBase Strategy Pattern adoption, array post-processing improvements, snapshot read feature, storage refactor, and websocket alive checks, plus installer-based documents and login permission handling. Fixed critical on-prem cache busting, watch, read, restore, and connection issues, improving reliability, real-time accuracy, and deployment stability. Achieved business value through maintainability, performance, and smoother release processes.
56 Commits • 16 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on key features delivered, major bugs fixed, overall impact, and technologies demonstrated. Highlights include AceBase Strategy Pattern adoption, array post-processing improvements, snapshot read feature, storage refactor, and websocket alive checks, plus installer-based documents and login permission handling. Fixed critical on-prem cache busting, watch, read, restore, and connection issues, improving reliability, real-time accuracy, and deployment stability. Achieved business value through maintainability, performance, and smoother release processes.
January 2026
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 performance summary for msa-ez/platform: Delivered key features, fixed critical transformation bugs, and advanced data integrity with UI state improvements. Highlights include new Standards Documents Management Dialog with advanced validation and external API support, LangGraph toggle with default-on control via local storage, and targeted fixes to transformation process error handling and UI state alignment. These efforts improved data consistency, enabled external integrations, and provided users with more control over feature usage, while enhancing platform reliability and maintainability.
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 performance summary for msa-ez/platform: Delivered key features, fixed critical transformation bugs, and advanced data integrity with UI state improvements. Highlights include new Standards Documents Management Dialog with advanced validation and external API support, LangGraph toggle with default-on control via local storage, and targeted fixes to transformation process error handling and UI state alignment. These efforts improved data consistency, enabled external integrations, and provided users with more control over feature usage, while enhancing platform reliability and maintainability.
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 (msa-ez/platform) focused on elevating model-driven development and documentation workflows. Delivered enhancements to the Event Storming Model Canvas and Code Generator, adding JSON export for aggregates, refining bounded context handling, and integrating LangGraph across generators. Implemented export of project documents to Word and PowerPoint formats with new UI components, enabling automated, shareable artifacts. No major bugs reported in this period. The combined changes streamline the model-to-code-to-document workflow, accelerating time-to-value for architectural decisions and stakeholder communications. Technologies demonstrated include LangGraph integration, JSON export formats, UI component development, and Office document generation.
2 Commits • 2 Features
Nov 1, 2025November 2025 (msa-ez/platform) focused on elevating model-driven development and documentation workflows. Delivered enhancements to the Event Storming Model Canvas and Code Generator, adding JSON export for aggregates, refining bounded context handling, and integrating LangGraph across generators. Implemented export of project documents to Word and PowerPoint formats with new UI components, enabling automated, shareable artifacts. No major bugs reported in this period. The combined changes streamline the model-to-code-to-document workflow, accelerating time-to-value for architectural decisions and stakeholder communications. Technologies demonstrated include LangGraph integration, JSON export formats, UI component development, and Office document generation.
November 2025
October 2025
6 Commits • 2 Features
Oct 1, 2025Monthly performance summary for 2025-10 focused on msa-ez/platform. The month delivered two major feature workstreams and a critical bug fix. Highlights include UI and data-layer enhancements to sitemap capabilities, and LangGraph-based integration for code generation and sitemap processing, with improvements to extraction logic for commands and read-models. A key stability improvement addressed a missing-callback/data-flow edge in the Devider/BoundedContext LangGraph generator, reducing runtime errors in the pipeline.
October 2025
6 Commits • 2 Features
Oct 1, 2025Monthly performance summary for 2025-10 focused on msa-ez/platform. The month delivered two major feature workstreams and a critical bug fix. Highlights include UI and data-layer enhancements to sitemap capabilities, and LangGraph-based integration for code generation and sitemap processing, with improvements to extraction logic for commands and read-models. A key stability improvement addressed a missing-callback/data-flow edge in the Devider/BoundedContext LangGraph generator, reducing runtime errors in the pipeline.
September 2025
21 Commits • 7 Features
Sep 1, 2025September 2025 – msa-ez/platform: Delivered major navigational, data integrity, and reliability improvements that drive faster discovery, secure access, and smoother workflows. Key deliverables include: 1) Sitemap and Elasticsearch integration with enhanced navigation (zoom, node folding) and history embedding; 2) Site map structure overhaul with recursive processing and 1:1 structure alignment; 3) User story management improvements: recursive updates, prompt separation, and duplicate-call prevention; 4) Configuration and DB permission validation with tests, plus a DB permission expiry re-login alert; 5) UI reliability improvements including button disable handling and removal of unnecessary redirects.
21 Commits • 7 Features
Sep 1, 2025September 2025 – msa-ez/platform: Delivered major navigational, data integrity, and reliability improvements that drive faster discovery, secure access, and smoother workflows. Key deliverables include: 1) Sitemap and Elasticsearch integration with enhanced navigation (zoom, node folding) and history embedding; 2) Site map structure overhaul with recursive processing and 1:1 structure alignment; 3) User story management improvements: recursive updates, prompt separation, and duplicate-call prevention; 4) Configuration and DB permission validation with tests, plus a DB permission expiry re-login alert; 5) UI reliability improvements including button disable handling and removal of unnecessary redirects.
September 2025
August 2025
13 Commits • 6 Features
Aug 1, 2025August 2025 highlights for msa-ez/platform: Focused on delivering scalable UI-generation capabilities, reliable data persistence, and improved site navigation to accelerate design-to-deploy cycles and enhance user experience. Key features delivered include UI Wireframe Generator with a generator class and integration with the UI definition panel to display previews and handle generation from command metadata and descriptions; Auto-saving AI Projects and UI Status with persistence to the database and UI updates reflecting join request statuses; Site Map Generator with collapsible nodes and improved zoom/pan UX for navigation; Recursive User Story Generation enabling chunked processing of very large requirement texts to generate structured user stories, actors, and business rules; Project Utilities and UI Components delivering a broad set of utilities, Firebase storage abstractions, GitLab integration helpers, usage tracking, and new view components (About, Home, Dashboard); Locale Configuration Fix addressing locale display issues; plus a Test Commit to validate tooling. Overall, these changes improve time-to-value for design and development, data reliability, navigation, and scalability, while expanding tooling for contributors.
August 2025
13 Commits • 6 Features
Aug 1, 2025August 2025 highlights for msa-ez/platform: Focused on delivering scalable UI-generation capabilities, reliable data persistence, and improved site navigation to accelerate design-to-deploy cycles and enhance user experience. Key features delivered include UI Wireframe Generator with a generator class and integration with the UI definition panel to display previews and handle generation from command metadata and descriptions; Auto-saving AI Projects and UI Status with persistence to the database and UI updates reflecting join request statuses; Site Map Generator with collapsible nodes and improved zoom/pan UX for navigation; Recursive User Story Generation enabling chunked processing of very large requirement texts to generate structured user stories, actors, and business rules; Project Utilities and UI Components delivering a broad set of utilities, Firebase storage abstractions, GitLab integration helpers, usage tracking, and new view components (About, Home, Dashboard); Locale Configuration Fix addressing locale display issues; plus a Test Commit to validate tooling. Overall, these changes improve time-to-value for design and development, data reliability, navigation, and scalability, while expanding tooling for contributors.
July 2025
11 Commits • 4 Features
Jul 1, 2025July 2025 Monthly Summary (msa-ez/platform) Key features delivered: - Context Mapping and Model Management: Implemented context mapping for project contexts, enabling save/manage of multiple model types (project/cm). Refactored storage dialog to support context mappings and updated ESDialoger to surface context-mapping models across project views. Commits include 00de3066a1e37f74818ec644dbd7499d930fa778 (project context mapping). - Frontend Bounded Contexts and UI/AI-Driven Design Enhancements: Introduced frontend code generation within bounded context workflows; added generation options; enhanced EventStorming canvas frontend support and PBC/frontend integration with refactored canvas logic; improvements to UI and AI-driven design for bounded contexts. Key commits: c9125b0cceff3c66b32e2ae4a99d3bd3bb8d4c80, 56dc9b219c890dbf4906e296067f3c75b8394411, 97f72dd0bec2d95f0b4b0924464ed777374e8bd4, 609cbdf1b2d296a8853d7455de96995afa6426ff, 99ecc1e9c6aa7b23543c91d01d6b79d46a6d003f. - BPMN Editor: Process Visualization and UI Simplifications: Added distinct BPMN visualization tabs per process set and streamlined UI for clearer workflows; improved frontend generation prompts and UI behavior. Commits: 64651080fb5ba51b479c2ae9832d7d11e0c78d3b, dab54b7b05740c1fb488c2ec3f988b26353aa929. - Site Map Generation with AI-assisted Design: AI-powered site map generation with UI for viewing/editing maps; minor end-of-file formatting for maintainability. Commits: 621ca8d5302c4a41abe28b43b5fb96a31c9c8a43, 60b91d7268797339c716ab6df403774df440ad8c. Major bugs fixed: - PDF Export Dialog Reliability: Fixed conditional rendering so the PDF export dialog appears only when necessary project information and model lists are available, preventing errors during PDF generation. Commit: 1eadbb89799bcde769ede0e7470c6932989f947a. Overall impact and accomplishments: - Accelerated design-to-implementation cycle by enabling context-aware model management and frontend code generation within bounded contexts. - Improved reliability and user experience for PDF exports, reducing runtime errors and failed generations. - Enhanced visualization and planning tooling (BPMN and AI-assisted site maps) to improve stakeholder communication and architectural planning. - Strengthened frontend capabilities and AI-driven design skills across projects, enabling more efficient delivery and better maintainability. Technologies/skills demonstrated: - Frontend: TypeScript, React-based UI updates; EventStorming canvas refinements; UI/UX simplifications. - Architecture: Bounded contexts, context mapping, and code generation integration. - AI-assisted design: AI-driven UI enhancements, site map generation, and AI-assisted design improvements. - Quality and reliability: Robust dialog rendering, guarded UI flows, and maintainability improvements. Notes: Commit traceability provided for each feature/bug to illustrate scope and accountability.
11 Commits • 4 Features
Jul 1, 2025July 2025 Monthly Summary (msa-ez/platform) Key features delivered: - Context Mapping and Model Management: Implemented context mapping for project contexts, enabling save/manage of multiple model types (project/cm). Refactored storage dialog to support context mappings and updated ESDialoger to surface context-mapping models across project views. Commits include 00de3066a1e37f74818ec644dbd7499d930fa778 (project context mapping). - Frontend Bounded Contexts and UI/AI-Driven Design Enhancements: Introduced frontend code generation within bounded context workflows; added generation options; enhanced EventStorming canvas frontend support and PBC/frontend integration with refactored canvas logic; improvements to UI and AI-driven design for bounded contexts. Key commits: c9125b0cceff3c66b32e2ae4a99d3bd3bb8d4c80, 56dc9b219c890dbf4906e296067f3c75b8394411, 97f72dd0bec2d95f0b4b0924464ed777374e8bd4, 609cbdf1b2d296a8853d7455de96995afa6426ff, 99ecc1e9c6aa7b23543c91d01d6b79d46a6d003f. - BPMN Editor: Process Visualization and UI Simplifications: Added distinct BPMN visualization tabs per process set and streamlined UI for clearer workflows; improved frontend generation prompts and UI behavior. Commits: 64651080fb5ba51b479c2ae9832d7d11e0c78d3b, dab54b7b05740c1fb488c2ec3f988b26353aa929. - Site Map Generation with AI-assisted Design: AI-powered site map generation with UI for viewing/editing maps; minor end-of-file formatting for maintainability. Commits: 621ca8d5302c4a41abe28b43b5fb96a31c9c8a43, 60b91d7268797339c716ab6df403774df440ad8c. Major bugs fixed: - PDF Export Dialog Reliability: Fixed conditional rendering so the PDF export dialog appears only when necessary project information and model lists are available, preventing errors during PDF generation. Commit: 1eadbb89799bcde769ede0e7470c6932989f947a. Overall impact and accomplishments: - Accelerated design-to-implementation cycle by enabling context-aware model management and frontend code generation within bounded contexts. - Improved reliability and user experience for PDF exports, reducing runtime errors and failed generations. - Enhanced visualization and planning tooling (BPMN and AI-assisted site maps) to improve stakeholder communication and architectural planning. - Strengthened frontend capabilities and AI-driven design skills across projects, enabling more efficient delivery and better maintainability. Technologies/skills demonstrated: - Frontend: TypeScript, React-based UI updates; EventStorming canvas refinements; UI/UX simplifications. - Architecture: Bounded contexts, context mapping, and code generation integration. - AI-assisted design: AI-driven UI enhancements, site map generation, and AI-assisted design improvements. - Quality and reliability: Robust dialog rendering, guarded UI flows, and maintainability improvements. Notes: Commit traceability provided for each feature/bug to illustrate scope and accountability.
July 2025
June 2025
13 Commits • 5 Features
Jun 1, 2025June 2025 performance highlights for msa-ez/platform: Delivered significant features across document generation UI, BPMN editor stability and filtering, and AI-driven project features with persistence, while strengthening drafts, permissions, and governance tooling. Implemented safer auto-update paths with explicit error handling and improved visibility into bounded contexts and project metadata. These efforts reduce manual steps, minimize errors, and accelerate collaboration and model governance.
June 2025
13 Commits • 5 Features
Jun 1, 2025June 2025 performance highlights for msa-ez/platform: Delivered significant features across document generation UI, BPMN editor stability and filtering, and AI-driven project features with persistence, while strengthening drafts, permissions, and governance tooling. Implemented safer auto-update paths with explicit error handling and improved visibility into bounded contexts and project metadata. These efforts reduce manual steps, minimize errors, and accelerate collaboration and model governance.
May 2025
13 Commits • 3 Features
May 1, 2025May 2025 (2025-05) performance summary for msa-ez/platform focused on editor usability, robust rendering, and streamlined documentation workflows. Key outcomes: (1) BPMN Editor and Auto-layout Enhancements delivering a more reliable visual editor and data flows; (2) AutoModelingDialog rendering and stability fixes ensuring UI resilience when event storming data is missing; (3) PDF Export, Document Generation, and Draft Data Workflow Enhancements enabling model selection for PDFs and clearer drafting flows across dialogs and templates; (4) Bounded Context Modeling and Event Storming Improvements for better diagrams, drafts, and UI layout. These efforts improve development efficiency, reduce rework, and enhance end-user deliverables.
13 Commits • 3 Features
May 1, 2025May 2025 (2025-05) performance summary for msa-ez/platform focused on editor usability, robust rendering, and streamlined documentation workflows. Key outcomes: (1) BPMN Editor and Auto-layout Enhancements delivering a more reliable visual editor and data flows; (2) AutoModelingDialog rendering and stability fixes ensuring UI resilience when event storming data is missing; (3) PDF Export, Document Generation, and Draft Data Workflow Enhancements enabling model selection for PDFs and clearer drafting flows across dialogs and templates; (4) Bounded Context Modeling and Event Storming Improvements for better diagrams, drafts, and UI layout. These efforts improve development efficiency, reduce rework, and enhance end-user deliverables.
May 2025
April 2025
12 Commits • 4 Features
Apr 1, 2025April 2025 Monthly Summary for msa-ez/platform: Key features delivered: - Event Storming Modeler: Implemented PBC/BC generation support, bounded-context generation defaults, dynamic PBC UI, and enhanced event discovery with AI-assisted prompts and event identification (CRUD operations excluded). This work also added AI analysis generator improvements and expanded event coverage on aggregate draft chains. - Project Sharing and Collaboration: Introduced project sharing, permission management, and collaboration capabilities (save projects, share access, join requests, and export options) with refined model editability logic. - PDF Export and Preview for Modeling Views: Enabled PDF export and preview for modeling views with UI controls and asynchronous document generation handling. - Aggregate Draft Versioning and Requirements Organization: Added versioning for aggregate drafts, exposed version info in dialogs, and improved handling/display of requirements for clarity and organization. - UML Class Model Integrity Fixes: Fixed errors in UML class model composition, prevented duplicate aggregation relations by validating existing relations before creation, and standardized list property naming. Major bugs fixed: - UML class model composition errors and duplicate aggregation relationships resolved; stabilization of property naming consistency across models. Overall impact and accomplishments: - Increased modeling efficiency and collaboration through robust sharing and permissions, improved model integrity and consistency, and enhanced export capabilities for external documentation and stakeholder reviews. The AI-assisted event discovery and PBC/BC generation features reduce manual modeling effort and improve accuracy in domain event capture. Technologies/skills demonstrated: - AI-assisted prompts and analysis integration, dynamic UI design for PBC features, versioning architecture for aggregates, asynchronous processing patterns for PDF generation, and robust validation to prevent duplication and maintain model integrity.
April 2025
12 Commits • 4 Features
Apr 1, 2025April 2025 Monthly Summary for msa-ez/platform: Key features delivered: - Event Storming Modeler: Implemented PBC/BC generation support, bounded-context generation defaults, dynamic PBC UI, and enhanced event discovery with AI-assisted prompts and event identification (CRUD operations excluded). This work also added AI analysis generator improvements and expanded event coverage on aggregate draft chains. - Project Sharing and Collaboration: Introduced project sharing, permission management, and collaboration capabilities (save projects, share access, join requests, and export options) with refined model editability logic. - PDF Export and Preview for Modeling Views: Enabled PDF export and preview for modeling views with UI controls and asynchronous document generation handling. - Aggregate Draft Versioning and Requirements Organization: Added versioning for aggregate drafts, exposed version info in dialogs, and improved handling/display of requirements for clarity and organization. - UML Class Model Integrity Fixes: Fixed errors in UML class model composition, prevented duplicate aggregation relations by validating existing relations before creation, and standardized list property naming. Major bugs fixed: - UML class model composition errors and duplicate aggregation relationships resolved; stabilization of property naming consistency across models. Overall impact and accomplishments: - Increased modeling efficiency and collaboration through robust sharing and permissions, improved model integrity and consistency, and enhanced export capabilities for external documentation and stakeholder reviews. The AI-assisted event discovery and PBC/BC generation features reduce manual modeling effort and improve accuracy in domain event capture. Technologies/skills demonstrated: - AI-assisted prompts and analysis integration, dynamic UI design for PBC features, versioning architecture for aggregates, asynchronous processing patterns for PDF generation, and robust validation to prevent duplication and maintain model integrity.
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 (msa-ez/platform): Delivered key features to enhance requirements analysis, bounded-context generation, and user-story creation, driving faster product velocity and higher quality. Implemented end-to-end requirements validation tooling with BPMN and Mermaid visualizations, enabling recursive analysis for large inputs and chunked processing, with UI improvements. Integrated analysis results into the bounded-context generation flow and introduced Pre-Built Components (PBCs) mapping with GitHub repository metadata to support component reuse across bounded contexts. Launched an Interactive User Story Generation Dialog offering AI-generated or manual input to streamline workflow. These changes reduce ambiguity in domain boundaries, improve traceability from requirements to code, and accelerate user-story production. Technologies demonstrated include BPMN and Mermaid diagrams, chunked/recursive data processing, PBC mapping with repo metadata, and AI-assisted workflow UX.
5 Commits • 2 Features
Mar 1, 2025March 2025 (msa-ez/platform): Delivered key features to enhance requirements analysis, bounded-context generation, and user-story creation, driving faster product velocity and higher quality. Implemented end-to-end requirements validation tooling with BPMN and Mermaid visualizations, enabling recursive analysis for large inputs and chunked processing, with UI improvements. Integrated analysis results into the bounded-context generation flow and introduced Pre-Built Components (PBCs) mapping with GitHub repository metadata to support component reuse across bounded contexts. Launched an Interactive User Story Generation Dialog offering AI-generated or manual input to streamline workflow. These changes reduce ambiguity in domain boundaries, improve traceability from requirements to code, and accelerate user-story production. Technologies demonstrated include BPMN and Mermaid diagrams, chunked/recursive data processing, PBC mapping with repo metadata, and AI-assisted workflow UX.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Achieved notable enhancements to the modeling tool for Bounded Contexts, improving labeling accuracy and visual differentiation in the matrix. Fixed terminology/spelling inconsistencies and refined AI-generated thoughts display. Implemented offset-based positioning to better separate Bounded Contexts, reducing visual clutter and accelerating modeling tasks for stakeholders.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Achieved notable enhancements to the modeling tool for Bounded Contexts, improving labeling accuracy and visual differentiation in the matrix. Fixed terminology/spelling inconsistencies and refined AI-generated thoughts display. Implemented offset-based positioning to better separate Bounded Contexts, reducing visual clutter and accelerating modeling tasks for stakeholders.
Activity
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Quality Metrics
Correctness84.4%
Maintainability82.4%
Architecture81.4%
Performance77.2%
AI Usage37.0%
Skills & Technologies
Programming Languages
CSSDockerfileHTMLJavaScriptMarkdownPythonSCSSShellVueVue.js
Technical Skills
AI IntegrationAI Prompt EngineeringAI-assisted DevelopmentAPI DevelopmentAPI IntegrationAPI integrationAsynchronous ProgrammingAuthenticationBPMNBPMN LayoutBPMN ModelingBPMN VisualizationBackend DevelopmentBackend IntegrationCI/CD
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline