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About

Hi, I'm Zhanbing Li

A medical student and builder using writing to understand AI tools, personal knowledge systems, programming practice, and the discipline of taking action.

What I care about

I care about practical systems: AI agents that help with real work, medical knowledge that can be searched and reused, and learning methods that survive contact with actual projects.

Current focus

  • • Building personal workflows with Obsidian, Zotero, OpenCode, and LLMs
  • • Learning TypeScript, Python, R, and frontend systems through projects
  • • Turning scattered reading and clinical knowledge into durable notes

Typical stack

  • TypeScript
  • React
  • Next.js
  • Tailwind
  • Vite
  • ESLint
  • Jest

What this blog is for

This is not a polished tutorial site. It is a long-running record of experiments: what I tried, where I got stuck, and how tools changed my next action.

The technical setup stays intentionally simple: Markdown, static output, RSS, search, and a theme map that keeps the archive connected as it grows.

Find me here