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  • Nanjing University
  • Nanjing
  • 04:29 (UTC +08:00)

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njueeRay/README.md
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{
  "name"         : "Ray Huang",
  "location"     : "Nanjing, China ๐Ÿ‡จ๐Ÿ‡ณ",
  "education"    : "Nanjing University ยท 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 ยท open source collaboration ยท LLM applications",
  "motto"        : "Future is coming, move early.",
  "status"       : "Building in public ๐Ÿ”จ",
  "fun_fact"     : "I let AI agents plan, write, and review โ€” I just ship."
}

I'm a builder at the intersection of LLM engineering and open source. Currently exploring AI-Native development โ€” 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 humanโ€“AI collaboration.

๐Ÿค– My AI Team

AI Agent Team: Brain ยท PM ยท Dev ยท Researcher ยท Code Reviewer ยท Profile Designer ยท Brand

7 specialized AI agents โ€” planning, implementing, reviewing and shipping together with me.

Meet the Team ย ย  Live Office ย ย  Knowledge Graph

โšก Tech Stack

Tech Stack

๐Ÿ“Š GitHub Stats

GitHub Stats GitHub Streak

๐Ÿ“ˆ Activity Graph

Activity Graph

โฑ๏ธ WakaTime

๐Ÿ“Š This Week's Coding Activity

Code Time

AI Code Time

Profile Views

๐Ÿฑ My GitHub Data

๐Ÿ“ฆ 231.0 kB Used in GitHub's Storage

๐Ÿ† 317 Contributions in the Year 2026

๐Ÿšซ Not Opted to Hire

๐Ÿ“œ 35 Public Repositories

๐Ÿ”‘ 7 Private Repositories

I'm a Night ๐Ÿฆ‰

๐ŸŒž Morning                77 commits          โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   07.94 % 
๐ŸŒ† Daytime                329 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   33.92 % 
๐ŸŒƒ Evening                342 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   35.26 % 
๐ŸŒ™ Night                  222 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   22.89 %

๐Ÿ“… I'm Most Productive on Wednesday

Monday                   82 commits          โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   08.45 % 
Tuesday                  144 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   14.85 % 
Wednesday                205 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   21.13 % 
Thursday                 128 commits         โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   13.20 % 
Friday                   151 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   15.57 % 
Saturday                 103 commits         โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   10.62 % 
Sunday                   157 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   16.19 %

๐Ÿ“Š This Week I Spent My Time On

๐Ÿ•‘๏ธŽ Time Zone: Asia/Shanghai

๐Ÿ’ฌ Programming Languages: 
Go                       9 mins              โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   40.53 % 
Python                   7 mins              โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   34.07 % 
JSON                     3 mins              โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   13.42 % 
Markdown                 2 mins              โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   11.98 % 

๐Ÿ”ฅ Editors: 
VS Code                  14 mins             โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   65.93 % 
Codex Vscode             7 mins              โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   34.07 % 

๐Ÿฑโ€๐Ÿ’ป Projects: 
easyeda-agent            13 mins             โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   60.33 % 
TraceMemo                7 mins              โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   34.07 % 
Unknown Project          1 min               โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   05.00 % 
codex-doing              0 secs              โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.60 % 

๐Ÿ’ป Operating System: 
Windows                  22 mins             โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   100.00 %

๐Ÿค– AI Coding This Week

โฑ AI Coding Time: 22 mins (100.0%)

โœ๏ธ 210 lines written by AI, 0 lines written by hand (100.0% AI-written)

๐Ÿ”ค 192,615 Input Tokens, 26,072 Output Tokens

๐Ÿ’ต $19.15 Estimated AI Cost This Week

๐Ÿง  2 AI Sessions, 2 AI Prompts

Codex-Vscode             210 lines           โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   100.00 % 
GPT                      0 lines             โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.00 % 

๐Ÿ”Ž AI Coding Insights:
๐Ÿค– AI-Driven โ€” 100.0% of written lines came from AI
๐Ÿ“ Concise Prompter โ€” average 137 characters per prompt
๐ŸŽฏ One-Shot Prompter โ€” average 1 prompts per session
๐Ÿš€ High AI Trust โ€” 0.0% of changed lines were hand-edited

I Mostly Code in Python

Python                   9 repos             โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   28.12 % 
TypeScript               8 repos             โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   25.00 % 
JavaScript               4 repos             โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   12.50 % 
Dart                     1 repo              โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   03.12 % 
Shell                    1 repo              โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   03.12 %

Timeline

Lines of Code chart

Last Updated on 28/08/2026 02:17:21 UTC

๐Ÿ Contribution Snake

Contribution Snake

๐Ÿ† Achievements

Public Repos Followers OpenProfile โญ MediaCrawler โญ WechatExporter โญ

E2E Tests Deploy Astro Playwright

๐ŸŒ 3D Contribution Graph
3D Contribution Graph
๐Ÿง  Team Knowledge Graph โ€” AI-native ๅ›ข้˜Ÿ่ฎค็Ÿฅๅ›พ่ฐฑ
Team Knowledge Graph

๐Ÿš€ Featured Projects

๐ŸŒ njueeray.github.io ๐Ÿค– OpenProfile ๐Ÿ” wechat_article_exporter
AI-native portfolio โ€” Agent personas, knowledge graph & workflow guide AI-Native Profile workflow โ€” build yours with Copilot Agents ๅพฎไฟกๅ…ฌไผ—ๅท็ˆฌ่™ซ็ณป็ปŸ
Live Agents Stars Forks Lang Stars Forks Lang

๐Ÿ› ๏ธ How I Build

AI-native isn't a tool setting โ€” it's a working pattern.

๐Ÿ” Recall โšก Execute ๐Ÿšข Ship
Read Sprint Board ยท sync context ยท confirm direction Agent roles drive implementation ยท Ray reviews decisions Release created ยท board cleared ยท loop restarts
~ 5 min 30 min โ€“ 2 hr < 10 min

Every feature follows this loop. 7 specialized AI agents collaborate โ€” Brain coordinates strategy, PM tracks progress, Dev implements, Researcher informs decisions, Code Reviewer guards quality, Profile Designer owns visuals, Brand handles storytelling.

๐Ÿ“– Full Workflow Guide

๐Ÿ“ Latest Blog Posts

- [็”จ 2 ๅˆ†้’Ÿไบ†่งฃ่ฟ™ไธช้กน็›ฎ๏ผšๅฝ“ไธ€ไธชๅผ€ๅ‘่€…่ฎฉ AI ๅ›ข้˜Ÿๅธฎไป–ๆž„ๅปบ่‡ชๅทฑ็š„ๆ•ฐๅญ—ไธ–็•Œ](https://njueeray.github.io/blog/2-min-guide-njueeray-github-io/) โ€” YYYY-00-DD- [OpenProfile ๆญฃๅผๅผ€ๆบ๏ผšๅฆ‚ไฝ•็”จ AI Agent ๅไฝœๆž„ๅปบไฝ ็š„ GitHub Profile](https://njueeray.github.io/blog/open-source-announcement/) โ€” YYYY-00-DD- [ๆˆ‘ไปฌๅ‘็Žฐ่‡ชๅทฑ่ตฐๅฏนไบ†๏ผšไธŽ GEP ็š„ไธๆœŸ่€Œ้‡ ยท ๅ›ข้˜Ÿๆผ”่ฟ›็ ”็ฉถไผš 2026-03-10](https://njueeray.github.io/blog/agent-team-evolution-gep-2026-03-10/) โ€” YYYY-00-DD- [ๆˆ‘ไปฌ็š„ 7 ไธช Skills ๅคŸ็”จๅ—๏ผŸๅ…จไฝ“ไผš่ฎฎๅฎžๅฝ• ยท 2026-03-10](https://njueeray.github.io/blog/skills-scaffold-all-hands-2026-03-10/) โ€” YYYY-00-DD- [ๅทฅๅ…ทๅฑ‚ไธ‰ไฝไธ€ไฝ“๏ผšSkills ร— Hooks ร— MCP ๆ˜ฏๆ€Žไนˆๆญ่ตทๆฅ็š„](https://njueeray.github.io/blog/tool-layer-architecture-skills-hooks-mcp/) โ€” YYYY-00-DD

โœจ Auto-synced daily from njueeray.github.io via RSS ยท Subscribe

๐Ÿค Connect with Me

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