How We Built Metis in 7 Hours: Recovering Hidden Decisions from Open-Source Projects

说明与用途

在七小时内，Dot 团队构建了 Mentis，一款用于跟踪开源仓库已验证提交的工具，展示了快速原型制作和 AI 集成。

问题

Open-source projects accumulate years of development activity, but tracking which commits have been verified becomes difficult as repositories grow.

结果

Mentis was successfully built in under seven hours, enabling developers to easily monitor verified commits in open-source repositories, demonstrating rapid prototyping and effective AI integration.

工作流

• 1. Selected problem statement during Hack Day.
• 2. Designed Mentis to track verified commits.
• 3. Built frontend with Next.js, TypeScript, Tailwind CSS.
• 4. Developed backend API with Python and FastAPI.
• 5. Stored data in PostgreSQL.
• 6. Integrated AI to analyze repository context.
• 7. Debugged data flow issues where AI lacked backend code context.
• 8. Completed product in ~7 hours and merged PR at 5:30 AM.
• 9. Prepared presentation for Hack Day.

证据

Open-source projects accumulate years of development activity across GitHub commits, pull requests, issues, and code changes.

来源

We wanted Mentis to help answer one important question: What verified changes have been made to this repository?

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Our tech stack included: Frontend: Next.js, TypeScript, Tailwind CSS; Backend: Python, FastAPI REST API; Database: PostgreSQL

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We wanted the AI to work with repository information, but it wasn't fetching the backend code as expected. That meant the AI was missing important context required for analysis.

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After nearly seven hours of work, we finally merged our PR.

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