{
"name" : "Ray Huang",
"location" : "Nanjing, China 🇨🇳",
"education" : "Nanjing University · Electronic Science & Engineering",
"role" : ["LLM Engineer", "Open Source Programmer", "Full-Stack Dev"],
"focus" : "Exploring the best AI-Native development practices",
"llm_stack" : ["LangChain", "LlamaIndex", "OpenAI API", "HuggingFace"],
"languages" : ["Python", "C++", "TypeScript", "JavaScript"],
"current_proj" : ["OpenProfile", "njueeray.github.io", "wechat_article_exporter"],
"open_to" : "AI tooling · open source collaboration · LLM applications",
"motto" : "Future is coming, move early.",
"status" : "Building in public 🔨",
"fun_fact" : "I let AI agents plan, write, and review — I just ship."
}I'm a builder at the intersection of LLM engineering and open source. Currently exploring AI-Native development — where agents aren't just coding assistants, but autonomous team members that plan, implement, and review together with humans. Every project I ship is a live experiment in human–AI collaboration.
7 specialized AI agents — planning, implementing, reviewing and shipping together with me.
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📊 This Week's Coding Activity
🐱 My GitHub Data
📦 229.4 kB Used in GitHub's Storage
🏆 317 Contributions in the Year 2026
🚫 Not Opted to Hire
📜 35 Public Repositories
🔑 7 Private Repositories
I'm a Night 🦉
🌞 Morning 76 commits ██░░░░░░░░░░░░░░░░░░░░░░░ 07.87 %
🌆 Daytime 326 commits ████████░░░░░░░░░░░░░░░░░ 33.75 %
🌃 Evening 342 commits █████████░░░░░░░░░░░░░░░░ 35.40 %
🌙 Night 222 commits ██████░░░░░░░░░░░░░░░░░░░ 22.98 %
📅 I'm Most Productive on Wednesday
Monday 82 commits ██░░░░░░░░░░░░░░░░░░░░░░░ 08.49 %
Tuesday 144 commits ████░░░░░░░░░░░░░░░░░░░░░ 14.91 %
Wednesday 201 commits █████░░░░░░░░░░░░░░░░░░░░ 20.81 %
Thursday 128 commits ███░░░░░░░░░░░░░░░░░░░░░░ 13.25 %
Friday 151 commits ████░░░░░░░░░░░░░░░░░░░░░ 15.63 %
Saturday 103 commits ███░░░░░░░░░░░░░░░░░░░░░░ 10.66 %
Sunday 157 commits ████░░░░░░░░░░░░░░░░░░░░░ 16.25 %
📊 This Week I Spent My Time On
🕑︎ Time Zone: Asia/Shanghai
💬 Programming Languages:
Other 4 mins █████████████████████████ 100.00 %
🔥 Editors:
Codex Vscode 4 mins █████████████████████████ 100.00 %
🐱💻 Projects:
codex-doing 4 mins █████████████████████████ 100.00 %
💻 Operating System:
Windows 4 mins █████████████████████████ 100.00 %
🤖 AI Coding This Week
⏱ AI Coding Time: 4 mins (100.0%)
✍️ 0 lines written by AI, 0 lines written by hand (0% AI-written)
🔤 32,524 Input Tokens, 3,118 Output Tokens
💵 $0.39 Estimated AI Cost This Week
🧠 1 AI Sessions, 2 AI Prompts
GPT 0 lines ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.00 %
🔎 AI Coding Insights:
🧑💻 Mostly Hands-On — 0% of written lines came from AI
📝 Concise Prompter — average 12 characters per prompt
🔁 Iterative Prompter — average 2 prompts per session
🚀 High AI Trust — 0% of changed lines were hand-edited
I Mostly Code in Python
Python 9 repos ███████░░░░░░░░░░░░░░░░░░ 28.12 %
TypeScript 7 repos █████░░░░░░░░░░░░░░░░░░░░ 21.88 %
HTML 3 repos ██░░░░░░░░░░░░░░░░░░░░░░░ 09.38 %
Dart 1 repo █░░░░░░░░░░░░░░░░░░░░░░░░ 03.12 %
Shell 1 repo █░░░░░░░░░░░░░░░░░░░░░░░░ 03.12 %
Timeline
Last Updated on 16/08/2026 18:56:31 UTC
🌏 3D Contribution Graph
🧠 Team Knowledge Graph — AI-native 团队认知图谱
| 🌐 njueeray.github.io | 🤖 OpenProfile | 🔍 wechat_article_exporter |
|---|---|---|
| AI-native portfolio — Agent personas, knowledge graph & workflow guide | AI-Native Profile workflow — build yours with Copilot Agents | 微信公众号爬虫系统 |
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AI-native isn't a tool setting — it's a working pattern.
| 🔁 Recall | ⚡ Execute | 🚢 Ship |
|---|---|---|
| Read Sprint Board · sync context · confirm direction | Agent roles drive implementation · Ray reviews decisions | Release created · board cleared · loop restarts |
~ 5 min |
30 min – 2 hr |
< 10 min |
Every feature follows this loop. 7 specialized AI agents collaborate — Brain coordinates strategy, PM tracks progress, Dev implements, Researcher informs decisions, Code Reviewer guards quality, Profile Designer owns visuals, Brand handles storytelling.
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