wow-agent — learning and building agent workflows
wow-rag — retrieval-augmented generation practice
AI coding, prompt engineering, knowledge-base applications
🧩 Full-stack / Cloud / AIoT
wow-fullstack — full-stack project practice
Front-End engineering, interactive docs, developer experience
ROS2, IoT scenarios, cloud-native hands-on cases
mindmap
root((Hu Qi))
AI Native
Agent
RAG
Coding Assistant
Engineering
Front-End
Full-stack
Developer Experience
Cloud & AIoT
CloudDev
ROS2
IoT Scenarios
Content
Tutorials
Open Source Notes
WeChat / Blog
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🕸️ GitHub developer graph
How this graph is generated
This graph is generated from GitHub data and updated by GitHub Actions.
Signal
Meaning
Repositories
Own repos ranked by stars, forks, and recent activity
Communities / Orgs
External repositories and organizations touched by authored issues, PRs, or public events
Languages
Language distribution from public repositories
Activity Types
Recent public GitHub event types
The generator lives in .github/scripts/generate-developer-graph.py, and the workflow lives in .github/workflows/update-developer-graph.yml.
🌟 Current focus
Direction
What I care about
Output style
AI Agent
from toy demos to useful workflows
repos, tutorials, cases
RAG
retrieval quality, knowledge engineering, evaluation
notes, examples, templates
Front-End
interaction, visual polish, DX
components, pages, docs
CloudDev
practical cloud scenarios
hands-on guides, case studies
AIoT / ROS2
bridging software and devices
experiments, demos
🛠️ Tech stack and tools
Languages TypeScript / JavaScript / Python / Markdown
Front-End React / Vue / Vite / Interactive Docs
AI Agent / RAG / Prompt Engineering / AI Coding
Cloud & IoT CloudDev / Linux / Docker / ROS2 / AIoT
Workflow GitHub / VS Code / Technical Writing / Open Source
📚 Writing and communities
💬 Contact / WeChat
Email: huqi1024@gmail.com
GitHub: @hu-qi
Open to collaboration on AI applications, Front-End, CloudDev, AIoT, tutorials, and open-source learning projects.
🏆 More GitHub widgets
This profile README intentionally uses mostly native GitHub-flavored Markdown features:
details / summary for clickable sections
picture for light/dark adaptive GitHub stats
mermaid for an interactive-looking knowledge map without custom JavaScript
generated SVG developer relationship graph from GitHub data
fewer fragile external widgets; removed abandoned-style counters and skill-chart dependencies
Thanks for visiting. Let's build useful things with AI. ✨