I'm a self-taught Software Engineer with expertise in both Development and Testing, based in China. My journey is basically a series of "I have no idea what I'm doing" moments that somehow worked out:

• 🧪 Started with Manual Testing → "Wait, people get PAID to find bugs? Sign me up!"
• ⚡ Automation Testing → "If I have to click this button one more time, I'm going to automate it out of spite"
• 👥 Test Management → "Apparently telling people to 'just test it' makes you management material"
• 💻 Full-Stack Development → "Frontend, backend, database... I collect job titles like Pokémon cards"
• 🤖 AI-Powered Product Building → "2024: Why write code when AI can write bugs for me faster?"

In the AI age, I'm basically that person who spent years learning to drive manual transmission, only to find out everyone's switching to self-driving cars. 🤷‍♂️ But hey, at least I understand what's under the hood when the AI inevitably breaks!

• Past: Collecting and organizing reusable code patterns (aka "hoarding code like a digital packrat")
• Present: Project-based learning to integrate AI tools with traditional workflows (translation: "trying not to get replaced by a chatbot")
• Future: Figuring out which skills are timeless and which are about as useful as a floppy disk 💾

*Still haunted by NullPointerException* *My comfort zone* *JavaScript with trust issues* *Fast compilation, slow learning*

My attempts to make friends with our future robot overlords

• AI-Code-Assistant - Custom coding assistants for different programming tasks
• AI-Content-Generator - Automated content creation for documentation and blogs

• LLM-Playground - Experimenting with different language models
• Prompt-Engineering-Lab - Testing and refining prompts for optimal results

• AI-Dev-Toolkit - Collection of AI-powered utilities for daily coding tasks
• Code-Companion - Smart assistant for code reviews and refactoring

• AI-CI-Pipeline - Intelligent CI/CD workflows with automated testing
• Infra-Copilot - AI-assisted infrastructure management

• AI-Dev-Journey - Documenting my learning path with AI tools
• Work-with-AI - Where I experiment with AI tools and occasionally get useful results

The digital equivalent of my storage unit - stuff I might need someday

• Daily-Python - Python snippets I collected while procrastinating
• QA-Workspace - QA tools that actually work (shocking, I know)

Because I'm too lazy to set up projects from scratch every time

Infrastructure & DevOps:

• Ansible Playbook Templates - For when clicking buttons is too mainstream

Backend Templates:

• Python Project Template - Python starter pack (batteries included, bugs extra)
• Java Maven/Gradle Template - Java boilerplate (enterprise-level verbosity guaranteed)
• Go Template Project - Golang starter (error handling sold separately)

Frontend & Full-Stack:

• TypeScript Library Starter - TypeScript template (now with 90% fewer 'any' types)
• TypeScript Monorepo Template - Monorepo setup (because one repo is never enough)

Documentation:

• FluentQA Docs Template - Documentation starter (procrastination not included)
• Nextra Docs Templates - Modern documentation (that nobody will read)

📈 Contribution Statistics (My Commitment Issues on Display)

💻 Most Used Languages

🔥 Contribution Streak

🏆 GitHub Trophies

📊 Contribution Activity

1. 🗣 Commented on #1 in qdriven/byte-composer
2. 🎉 Merged PR #1 in qdriven/byte-composer
3. 💪 Opened PR #1 in qdriven/byte-composer
4. 🎉 Merged PR #33 in fluent-qa/fluentqa-workspace
5. 💪 Opened PR #33 in fluent-qa/fluentqa-workspace

💡 "I survived the transition from manual testing to AI development, which basically makes me a digital fossil with WiFi."