20 years in Enterprise IT. One month with Claude Code. Never going back.
I'm not a software engineer. I haven't solved a LeetCode problem in my life. For nearly two decades, I ran IT infrastructure at companies where "writing code" meant updating a spreadsheet macro.
Then AI happened.
Taiwan (1985-) -- Studied CS at National Central University. Spent more time running the campus network, co-building a MUD (still running after 20+ years), and managing the highest-traffic personal BBS board than writing code.
US (2008-) -- Master's in CIS. Then nearly 20 years of enterprise IT:
| Domain | Stack |
|---|---|
| Identity & Endpoints | Google Workspace, M365, Intune, Entra ID |
| ERP | Dynamics NAV |
| BI | Domo |
| CRM | Salesforce |
| Security | NIST CSF, ISO 27001 |
One year, I wrote maybe one line of code. Never touched GitHub.
Now -- Downloaded Claude Code. Built an AI agent framework in weeks. Shipped more in a month than most side projects ship in a year.
I design from an IT veteran's perspective -- not "how do I write the cleverest code," but "what actually works for people who aren't engineers."
Claude Code skills wrapper. Lightest weight, curated features, maximum performance. One generator command, you're running. 25 MB RAM, 672 KB on disk.
Unified long-term memory for AI agents. SQLite + Vector Search.
This isn't code written by a 20-year software engineer. It's the best path found by a 20-year IT / MIS / Cybersecurity veteran who knows what enterprises actually need.
The best developer tools come from people who've spent decades as users of technology. I know what breaks at 3 AM, what IT teams actually adopt vs. what dies after the demo, and why "just works" beats "highly configurable" every time.
Building a multi-AI agent fleet -- Claude, GPT, Gemini, and local models working as a team with defined roles, real accountability, and honest performance scoring. Not a demo. Running in production, every day.
Taipei → Los Angeles
20 年企業 IT。一個月 Claude Code。回不去了。
我不是軟體工程師。這輩子沒解過一題 LeetCode。將近二十年，我在企業裡管 IT 基礎建設，「寫程式」對我來說就是改 Excel 巨集。
然後 AI 來了。
台灣（1985-） -- 中央大學資工系。比起寫程式，更多時間在管校園網路、共同開發 MUD（營運至今 20+ 年），以及經營全校最高人氣 BBS 個版。
美國（2008-） -- CIS 碩士。接著近 20 年企業 IT：
| 領域 | 技術棧 |
|---|---|
| 身分與端點管理 | Google Workspace, M365, Intune, Entra ID |
| ERP | Dynamics NAV |
| BI | Domo |
| CRM | Salesforce |
| 資安 | NIST CSF, ISO 27001 |
一整年，我大概寫了一行 code。從沒碰過 GitHub。
現在 -- 下載 Claude Code。幾週內打造一套 AI Agent 框架。一個月的產出超過多數 side project 一年的進度。
我用 IT 老兵的視角 設計工具 -- 不是「怎麼寫最聰明的 code」，而是「什麼東西非工程師也能用」。
Claude Code skills wrapper。最輕量、精選功能、極致效能。一條指令，直接跑。25 MB RAM，672 KB 磁碟。
AI Agent 統一長期記憶。SQLite + Vector Search。
這不是一個 20 年軟體工程師寫的程式。這是一個 20 年 IT / MIS / 資安老兵找到的最佳路徑。
最好的開發者工具，來自於花了數十年當技術 使用者 的人。我知道什麼東西凌晨三點會壞、IT 團隊真正會採用什麼 vs. demo 完就丟的東西，以及為什麼「就是能用」永遠打贏「超級可設定」。
打造多 AI Agent 艦隊 -- Claude、GPT、Gemini、本地模型作為一個團隊運作，有明確角色、真實問責、誠實績效評分。不是 demo，每天都在 production 跑。
台北 → 洛杉磯