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tingfeng347/README.md

Hi There 👋, I'm tingfeng347

Animated developer introduction


Python Java TypeScript Node.js Shell
FastAPI Vue.js React LangGraph LlamaIndex PyTorch
vLLM Git Neo4j MySQL Docker Linux VS Code Agent


Weekly Coding Activity

AI Code Time

I'm most active in the Evening 🌃

🌞 Morning                30 commits          ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   12.99 %
🌆 Daytime                90 commits          ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   38.96 %
🌃 Evening                94 commits          ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   40.69 %
🌙 Night                  17 commits          ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   07.36 %

📅 I'm Most Productive on Thursday

Monday                   33 commits          ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   14.29 %
Tuesday                  17 commits          ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   07.36 %
Wednesday                26 commits          ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   11.26 %
Thursday                 62 commits          ⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   26.84 %
Friday                   33 commits          ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   14.29 %
Saturday                 25 commits          ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   10.82 %
Sunday                   35 commits          ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   15.15 %

📊 This Week I Spent My Time On

💬 Programming Languages:
Python                   12 hrs 13 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   30.31 %
Markdown                 6 hrs 51 mins       ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   17.01 %
YAML                     4 hrs 17 mins       ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   10.66 %
Other                    3 hrs 34 mins       ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   08.87 %
CSS                      3 hrs 12 mins       ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   07.94 %

🔥 Editors:
VS Code                  36 hrs 35 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀   90.71 %
Codex CLI                3 hrs 44 mins       ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   09.29 %
Claude Code              0 secs              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.00 %

💻 Operating System:
Linux                    30 hrs 59 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀   76.83 %
Windows                  9 hrs 20 mins       ⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   23.17 %

🤖 AI Coding This Week

⏱ AI Coding Time: 36 hrs 19 mins (90.04%)

✍️ 27,297 lines written by AI, 163 lines written by hand (99.41% AI-written)

🔤 439,758,915 Input Tokens, 1,703,903 Output Tokens

💵 $1957.89 Estimated AI Cost This Week

🧠 70 AI Sessions, 519 AI Prompts

GPT                      23,154 lines        ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀   82.46 %
Deepseek                 4,924 lines         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   17.54 %
Codex-Cli                0 lines             ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.00 %
Opencode-Cli             0 lines             ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.00 %
Claude-Code              0 lines             ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.00 %

🔎 AI Coding Insights:
🤖 AI-Driven — 99.41% of written lines came from AI
📝 Concise Prompter — average 470 characters per prompt
🔁 Iterative Prompter — average 7 prompts per session
🚀 High AI Trust — 3.89% of changed lines were hand-edited

Last Updated on 28/07/2026 13:06:07 UTC


Contribution Snake

contribution snake

3D Contributions

3D contribution graph

Thanks for visiting — let's build useful things.

Pinned Loading

  1. zst_agent zst_agent Public

    基于 FastAPI + Vue 3 构建的智能客服系统,具备 RAG(检索增强生成)与 AI Agent 核心能力,可为企业提供高效、可扩展的智能客服解决方案。

    Vue 27

  2. archtools archtools Public

    一个Arch Linux 包管理 TUI 工具集,统一 Pacman / AUR / Flatpak 三个源。

    Shell 3 2

  3. crops_predict crops_predict Public

    一个pyside6程序,实现了基于气象和土壤数据的作物产量预测:收集历史气象数据(温度、降水等)、作物信息、土壤数据和相应的作物产量数据,运用回归分析、机器学习算法构建产量预测模型

    Python 4

  4. windcode windcode Public

    Windcode 是一个面向真实代码仓库的终端 Coding Agent。它可以理解项目、修改文件、执行命令、 运行测试,并在高风险操作前请求授权;同时提供多模型接入、多智能体协作、MCP/Skills/Plugins 扩展、会话恢复和长期记忆。

    Python 3

  5. writing_agent writing_agent Public

    基于 FastAPI + Vue 3 + LangGraph 的多 Agent 研究助手。项目以最小可理解的工程结构实现了规划、研究、写作三个 Agent 的协作流程,并提供前后端分离的聊天界面、SSE 流式响应、多会话管理和 LangGraph checkpoint 持久化能力。

    Python 1 1

  6. Yuxi Yuxi Public

    Forked from xerrors/Yuxi

    结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

    Python 1