Software Engineer at China
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npx dong4j --no👆 This command line tool can be found at npx-card
Hi, I'm dong4j, a Full Stack Developer 🚀 from China. Currently becoming an independent developer. Beside's programming, I also like motorcycles, traveling, and cats.
- 🧐 Interested in everything Cloud Native and AI
- 🌱 Currently learning Golang and Python
- 📚 Reading about Cloud Native, Kubernetes, and DevOps
- ❤️ Open Source Software
- 🐧 Linux ... it does infinite loops in 5 seconds..
const dong4j = {
pronouns: "He" | "Him",
code: ["Java", "Python", "Javascript"],
askMeAbout: ["web dev",, "cloud computing",, "tech trends"],
technologies: {
frontEnd: {
js: ["React", "Vue.js"],
css: ["Sass", "Tailwind CSS"],
uiLibraries: ["Material UI", "Ant Design", "Element UI"],
},
backEnd: {
java: ["Spring Boot", "Spring Cloud", "Vert.X"],
js: ["NodeJS"],
python: ["Flask"],
go: ["Gin"]
},
mobileApp: {
crossPlatform: ["Flutter", "uni-app"],
},
devOps: ["Docker🐳", "CI/CD", "Nginx", "GitHub Actions"],
cloudServices: {
aws: ["Alibaba Cloud", "AWS Fargate", "EC2", "S3", "Lambda", "CloudWatch", "RDS"],
},
databases: ["MySQL", "MongoDB", "SQLite", "PostgreSQL", "Redis"],
misc: ["REST APIs", "WebSockets", "Cloud Functions"],
generativeAI: ["GPTs", "Ollama" , "ComfyUI"],
},
architecture: {
frontEnd: ["SPA", "SSR"],
backEnd: ["microservices", "monolithic", "serverless"],
devOps: ["CloudFormation", "Serverless Framework"],
databases: ["Relational", "NoSQL", "In-memory"],
},
currentFocus: "Leading a way in generative AI innovation",
funFact: "I can debug faster with a tea in hand!"
};
- Starcat for GitHub：把 Star 过的项目变成可用的知识库
- 我的升降桌改造：破解原厂面板，接入多种控制方式
- 我为 GitHub 重度使用者做了一款 macOS 原生应用
- Hammerspoon 里用 WiFi SSID 做判断的折腾记录
- 打造 SkillsJars Helper：让 AI Agent Skill 在 IDE 中可视化分发与管理的 IDEA 插件
- 如何让 Gemini CLI 实现多账号无感切换
⏳ WakaTime Stats
🐱 My GitHub Data
📦 2.0 MB Used in GitHub's Storage
🏆 8,551 Contributions in the Year 2026
🚫 Not Opted to Hire
📜 272 Public Repositories
🔑 22 Private Repositories
I'm a Night 🦉
🌞 Morning 5726 commits ███░░░░░░░░░░░░░░░░░░░░░░ 13.53 %
🌆 Daytime 13673 commits ████████░░░░░░░░░░░░░░░░░ 32.32 %
🌃 Evening 14669 commits █████████░░░░░░░░░░░░░░░░ 34.67 %
🌙 Night 8238 commits █████░░░░░░░░░░░░░░░░░░░░ 19.47 %
📅 I'm Most Productive on Monday
Monday 7488 commits ████░░░░░░░░░░░░░░░░░░░░░ 17.70 %
Tuesday 6654 commits ████░░░░░░░░░░░░░░░░░░░░░ 15.73 %
Wednesday 6931 commits ████░░░░░░░░░░░░░░░░░░░░░ 16.38 %
Thursday 6094 commits ████░░░░░░░░░░░░░░░░░░░░░ 14.40 %
Friday 5306 commits ███░░░░░░░░░░░░░░░░░░░░░░ 12.54 %
Saturday 4613 commits ███░░░░░░░░░░░░░░░░░░░░░░ 10.90 %
Sunday 5220 commits ███░░░░░░░░░░░░░░░░░░░░░░ 12.34 %
📊 This Week I Spent My Time On
🕑︎ Time Zone: Asia/Shanghai
💬 Programming Languages:
Markdown 24 hrs 37 mins ███████░░░░░░░░░░░░░░░░░░ 27.82 %
Other 17 hrs 9 mins █████░░░░░░░░░░░░░░░░░░░░ 19.39 %
Java 12 hrs 3 mins ███░░░░░░░░░░░░░░░░░░░░░░ 13.62 %
Swift 10 hrs 24 mins ███░░░░░░░░░░░░░░░░░░░░░░ 11.77 %
Python 4 hrs 58 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 05.62 %
🔥 Editors:
IntelliJ IDEA 27 hrs 9 mins ████████░░░░░░░░░░░░░░░░░ 30.68 %
VS Code 22 hrs 36 mins ██████░░░░░░░░░░░░░░░░░░░ 25.54 %
Chrome 18 hrs 47 mins █████░░░░░░░░░░░░░░░░░░░░ 21.23 %
Codex Vscode 9 hrs 32 mins ███░░░░░░░░░░░░░░░░░░░░░░ 10.77 %
iTerm2 5 hrs 54 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 06.67 %
💻 Operating System:
Mac 88 hrs 30 mins █████████████████████████ 100.00 %
🤖 AI Coding This Week
⏱ AI Coding Time: 64 hrs 58 mins (73.42%)
✍️ 57,635 lines written by AI, 46,854 lines written by hand (55.16% AI-written)
🔤 72,856,805 Input Tokens, 9,904,032 Output Tokens
💵 $4710.63 Estimated AI Cost This Week
🧠 148 AI Sessions, 602 AI Prompts
GPT 25,551 lines ████████████░░░░░░░░░░░░░ 47.30 %
Codex-Vscode 16,447 lines ████████░░░░░░░░░░░░░░░░░ 30.44 %
Intellijidea 5,248 lines ██░░░░░░░░░░░░░░░░░░░░░░░ 09.71 %
Vscode 3,601 lines ██░░░░░░░░░░░░░░░░░░░░░░░ 06.67 %
GLM 3,177 lines █░░░░░░░░░░░░░░░░░░░░░░░░ 05.88 %
🔎 AI Coding Insights:
⚖️ Balanced with AI — 55.16% of written lines came from AI
📄 Detailed Prompter — average 1,093 characters per prompt
🔁 Iterative Prompter — average 4 prompts per session
🚀 High AI Trust — 47.76% of changed lines were hand-edited
I Mostly Code in Java
Go 17 repos ███░░░░░░░░░░░░░░░░░░░░░░ 13.93 %
JavaScript 15 repos ███░░░░░░░░░░░░░░░░░░░░░░ 12.30 %
Python 8 repos ██░░░░░░░░░░░░░░░░░░░░░░░ 06.56 %
Swift 5 repos █░░░░░░░░░░░░░░░░░░░░░░░░ 04.10 %
C 1 repo ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.82 %
Timeline
Last Updated on 01/11/2026 04:29:41 UTC
These Readme stats are generated using Github Action awesome-readme-stats
NOTE: Top languages does not indicate my skill level or anything like that. It is just a metric of which languages have been hosted by me on GitHub based on the usage across repositories. There are others which I haven't put up on GitHub.
〽️ GitHub Stats
🛠️ Languages and Tools
Visitor count
🌱 Learning all about Open Source
⭐️ From dong4j