hivemq/hivemq-edge
Oct 2025 – Mar 2026
6 Months active
Languages Used
CSSJavaScriptMarkdownShellTypeScriptYAMLJSONJava
Technical Skills
AI IntegrationAPI IntegrationBuild ToolsCI/CDChakra UICode Coverage
Nicolas Van Labeke
PROFILE
Nicolas Van Labeke
Over six months, contributed to the hivemq-edge repository by building and enhancing complex frontend features, focusing on robust testing, user experience, and developer productivity. Delivered advanced search and filtering systems, dynamic FSM visualizations, and schema editing tools, while integrating AI tooling readiness and visual regression testing with Percy. Improved CI/CD pipelines and test automation using TypeScript, Cypress, and Node.js, resulting in faster, more reliable releases. Enhanced documentation with domain ontology coverage and Figma integration, and strengthened code quality through ESLint, SonarCloud, and comprehensive linting. Addressed UI accessibility, editor stability, and routing reliability, supporting maintainable, scalable, and user-friendly application development.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
30Total
Bugs
3
Commits
30
Features
13
Lines of code
180,433
Activity Months6
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for hivemq-edge. Delivered comprehensive documentation and testing documentation enhancements, with domain ontology coverage, Figma board integration, and Cypress testing docs. Also cleaned up and reorganized existing docs to improve maintainability and clarity, and instituted linting and testing documentation improvements to boost quality.
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for hivemq-edge. Delivered comprehensive documentation and testing documentation enhancements, with domain ontology coverage, Figma board integration, and Cypress testing docs. Also cleaned up and reorganized existing docs to improve maintainability and clarity, and instituted linting and testing documentation improvements to boost quality.
March 2026
February 2026
9 Commits • 2 Features
Feb 1, 2026February 2026 highlights for hivemq-edge: Delivered user-facing enhancements for Behavior Model UI/UX and dynamic Mermaid FSM visualization with accessibility improvements, along with significant developer experience and stability upgrades. Strengthened testing and release reliability through Type-Safe Cypress intercepts and consistent dependency updates. Expanded documentation and code quality via adapter JSON schema cleanup, QA checklists, visual testing suite, linting, and translations fixes, enabling faster, safer iterations and clearer modelling workflows.
February 2026
9 Commits • 2 Features
Feb 1, 2026February 2026 highlights for hivemq-edge: Delivered user-facing enhancements for Behavior Model UI/UX and dynamic Mermaid FSM visualization with accessibility improvements, along with significant developer experience and stability upgrades. Strengthened testing and release reliability through Type-Safe Cypress intercepts and consistent dependency updates. Expanded documentation and code quality via adapter JSON schema cleanup, QA checklists, visual testing suite, linting, and translations fixes, enabling faster, safer iterations and clearer modelling workflows.
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01) hivemq-edge monthly summary: Focused on strengthening test tooling, enabling safer schema configuration, and fortifying routing reliability. Key changes delivered include updated testing infrastructure with Cypress and ESLint, ReadOnly support in the JSON Schema mapping UI, and a routing serialization fix via a React Router upgrade. These efforts reduce regression risk, improve developer velocity, and deliver clearer UI feedback for readonly schema properties, contributing to more stable deployments and faster feature delivery.
4 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01) hivemq-edge monthly summary: Focused on strengthening test tooling, enabling safer schema configuration, and fortifying routing reliability. Key changes delivered include updated testing infrastructure with Cypress and ESLint, ReadOnly support in the JSON Schema mapping UI, and a routing serialization fix via a React Router upgrade. These efforts reduce regression risk, improve developer velocity, and deliver clearer UI feedback for readonly schema properties, contributing to more stable deployments and faster feature delivery.
January 2026
December 2025
4 Commits • 2 Features
Dec 1, 2025December 2025: Focused on stabilizing CI/test automation and delivering independent schema/script editing for DataHub within hivemq-edge. Resulted in faster, more reliable CI, reduced feedback cycle, and improved developer productivity through real-time validation and simplified resource management. Demonstrated capabilities in Cypress-based test optimization, TypeScript Compiler API usage for real-time JS validation, Monaco-based validation, protobuf handling, and UI/UX refactors for resource editors.
December 2025
4 Commits • 2 Features
Dec 1, 2025December 2025: Focused on stabilizing CI/test automation and delivering independent schema/script editing for DataHub within hivemq-edge. Resulted in faster, more reliable CI, reduced feedback cycle, and improved developer productivity through real-time validation and simplified resource management. Demonstrated capabilities in Cypress-based test optimization, TypeScript Compiler API usage for real-time JS validation, Monaco-based validation, protobuf handling, and UI/UX refactors for resource editors.
November 2025
8 Commits • 3 Features
Nov 1, 2025November 2025 (hivemq-edge): Delivered key UX enhancements, reliability improvements, and quality signals to increase deployment confidence and team velocity. The work focused on streamlining user workflows, improving visibility during policy publishing, and strengthening editor stability, with instrumentation to support ongoing quality assurance and compliance.
8 Commits • 3 Features
Nov 1, 2025November 2025 (hivemq-edge): Delivered key UX enhancements, reliability improvements, and quality signals to increase deployment confidence and team velocity. The work focused on streamlining user workflows, improving visibility during policy publishing, and strengthening editor stability, with instrumentation to support ongoing quality assurance and compliance.
November 2025
October 2025
4 Commits • 3 Features
Oct 1, 2025Month: 2025-10 — This month delivered significant quality and user experience improvements for hivemq-edge, with a strong emphasis on testing, AI tooling readiness, data navigation, and visual regression stability. Key outcomes include expanded testing coverage, tooling upgrades, improved search and filtering capabilities, and reinforced UI consistency through Percy visual regression. Key deliverables: - Quality Assurance & AI Tooling Setup: expanded unit tests across utilities, hooks, and core files; added AI context documentation and task tracking; upgraded development dependencies and CI tooling (Node.js, pnpm, Vite, Cypress); refined GitHub Actions and npmrc; aligned codebase for AI agent interactions and maintainability. - Advanced Search and Filtering for Workspace: implemented a comprehensive search and filtering system with new toolbars, filter controls, and the ability to save/apply custom filter configurations to improve navigation and data management. - Visual UI Quality Assurance via Percy Visual Regression: integrated Percy visual regression snapshots across HiveMQ Edge Frontend; added new snapshots and refined existing ones in E2E tests; updated dependencies and test configurations and introduced new testing patterns for maintainability and robustness. Impact: - Increased test coverage and CI reliability, reducing regression risk and accelerating release cycles. - Improved end-user data navigation and configurability through advanced workspace search/filter capabilities. - Strengthened UI consistency and regression safety with Percy visual testing, facilitating faster UI iteration with confidence. Technologies/skills demonstrated: - Node.js, pnpm, Vite, Cypress, Percy - AI tooling readiness and documentation - GitHub Actions, npmrc configuration for dependencies - Test automation, visual regression testing, and maintainability practices
October 2025
4 Commits • 3 Features
Oct 1, 2025Month: 2025-10 — This month delivered significant quality and user experience improvements for hivemq-edge, with a strong emphasis on testing, AI tooling readiness, data navigation, and visual regression stability. Key outcomes include expanded testing coverage, tooling upgrades, improved search and filtering capabilities, and reinforced UI consistency through Percy visual regression. Key deliverables: - Quality Assurance & AI Tooling Setup: expanded unit tests across utilities, hooks, and core files; added AI context documentation and task tracking; upgraded development dependencies and CI tooling (Node.js, pnpm, Vite, Cypress); refined GitHub Actions and npmrc; aligned codebase for AI agent interactions and maintainability. - Advanced Search and Filtering for Workspace: implemented a comprehensive search and filtering system with new toolbars, filter controls, and the ability to save/apply custom filter configurations to improve navigation and data management. - Visual UI Quality Assurance via Percy Visual Regression: integrated Percy visual regression snapshots across HiveMQ Edge Frontend; added new snapshots and refined existing ones in E2E tests; updated dependencies and test configurations and introduced new testing patterns for maintainability and robustness. Impact: - Increased test coverage and CI reliability, reducing regression risk and accelerating release cycles. - Improved end-user data navigation and configurability through advanced workspace search/filter capabilities. - Strengthened UI consistency and regression safety with Percy visual testing, facilitating faster UI iteration with confidence. Technologies/skills demonstrated: - Node.js, pnpm, Vite, Cypress, Percy - AI tooling readiness and documentation - GitHub Actions, npmrc configuration for dependencies - Test automation, visual regression testing, and maintainability practices
Activity
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Quality Metrics
Correctness91.8%
Maintainability85.0%
Architecture86.4%
Performance84.0%
AI Usage44.8%
Skills & Technologies
Programming Languages
CSSJSONJavaJavaScriptMarkdownShellTypeScriptYAML
Technical Skills
AI IntegrationAPI IntegrationAPI TestingBuild ToolsCI/CDChakra UICode CoverageCode RefactoringComponent DevelopmentCypressCypress testingDependency ManagementE2E TestingESLintFrontend Development
Repositories Contributed To
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