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PROFILE

Zhenzhen

Arizona-dev contributed to the moeru-ai/airi repository by enhancing the onboarding user experience and improving privacy in LLM message handling. They implemented a feature that added Groq as a selectable onboarding provider, streamlining the initial setup process for users. Using TypeScript and Vue, Arizona-dev refactored the message preparation logic to remove internal fields such as context, id, and createdAt before sending data to the LLM API. This approach reduced the risk of internal data leakage and increased API efficiency. Their work demonstrated a solid grasp of API integration and front-end development, delivering focused improvements within a short timeframe.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

4Total
Bugs
1
Commits
4
Features
1
Lines of code
20
Activity Months1

Work History

March 2026

4 Commits • 1 Features

Mar 1, 2026

March 2026: Key onboarding UX improvement and privacy-focused LLM message handling delivered for moeru-ai/airi. Focused on enabling Groq as a ready-to-select onboarding provider and refactoring message preparation to minimize internal data leakage while boosting LLM API efficiency.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

TypeScriptVue

Technical Skills

API IntegrationFront-end DevelopmentFrontend Development

Repositories Contributed To

1 repo

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

moeru-ai/airi

Mar 2026 Mar 2026
1 Month active

Languages Used

TypeScriptVue

Technical Skills

API IntegrationFront-end DevelopmentFrontend Development

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