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noriyuki-yagi

PROFILE

Noriyuki-yagi

Noriyuki Yagi developed and thoroughly documented end-to-end AI-assisted workflows for the mamezou-tech/mamezou-tech-site repository, focusing on building an album application using the Kiro AI agent IDE. He implemented backend components such as authentication and media APIs with ASP.NET Core and Entity Framework, and frontend features like upload and pagination using Angular, all within a Dockerized environment. Yagi also authored a detailed integration guide for Kiro-Sphinx, addressing context management and streamlining onboarding. His work emphasized reproducible architectures, clear technical writing, and robust environment setup, providing a reusable blueprint for AI-driven full-stack development and improving cross-team knowledge transfer.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

7Total
Bugs
0
Commits
7
Features
2
Lines of code
6,029
Activity Months2

Work History

December 2025

1 Commits • 1 Features

Dec 1, 2025

December 2025 monthly summary focusing on delivering knowledge and enabling developer productivity through documentation. The primary effort was a feature article documenting the Kiro-Sphinx integration to streamline project development workflows and address context management challenges. This work enhances consistency in documentation, accelerates onboarding, and provides a validated reference for future integration tasks.

August 2025

6 Commits • 1 Features

Aug 1, 2025

2025-08 monthly summary for mamezou-tech-site: Delivered a focused AI-powered development blog series—'AI Development Revolution Blog Series for Album Application (Kiro)'—that documents end-to-end development of an album application using the Kiro AI agent IDE. Coverage spans requirements definition, system design, project setup, Docker environment, backend components (auth, metadata extraction, thumbnails, media API), frontend (upload, listing, pagination, authentication), and deployment scaffolding, including debugging and iterative improvements with AI assistance. No major bugs fixed this month; emphasis was on feature-driven documentation, architecture, and knowledge transfer. Business impact includes a reusable reference architecture, faster onboarding, and stronger cross-team collaboration, with six published articles providing a reproducible blueprint for AI-assisted full-stack development.

Activity

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Quality Metrics

Correctness87.2%
Maintainability85.8%
Architecture84.2%
Performance77.2%
AI Usage90.0%

Skills & Technologies

Programming Languages

BashBatchC#DockerfileHTMLJSONMarkdownMermaidPowerShellSCSS

Technical Skills

AI Agent DevelopmentAI Agent IntegrationAI integrationAI-Assisted DevelopmentAI-assisted DevelopmentAPI DevelopmentAPI IntegrationASP.NET CoreAngularBackend DevelopmentCI/CDContainerizationDebuggingDependency InjectionDocker

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

mamezou-tech/mamezou-tech-site

Aug 2025 Dec 2025
2 Months active

Languages Used

BashBatchC#DockerfileHTMLJSONMarkdownMermaid

Technical Skills

AI Agent DevelopmentAI Agent IntegrationAI-Assisted DevelopmentAI-assisted DevelopmentAPI DevelopmentAPI Integration