tradecatlabs/vibe-coding-cn

Project overview

Rather than scattered material, it organizes Skill, context, quality gates and a full engineering loop into a systematic Chinese learning path from idea and requirements through coding, testing, deployment and review, paired with immediately reusable skill modules.

Project type

AI Coding · Prompt Engineering · Learning Resources

Use cases

Coding & Development · Learning & Education

Deployment

Refer to project documentation

License

MIT

Best for

• Chinese-speaking learners who want a systematic, beginner-to-master path for AI pair-programming rather than scattered material.

Key capabilities

• A structured Chinese tutorial taking users from idea and requirements through task breakdown to coding, testing, deployment and review.
• Reusable executable AI skill modules, including auto-skill and auto-tmux entries.

Limitations and risks

• There is no dev server, Docker/K8s deployment entry or fixed service port; the project is documentation and resources, not a deployable service.
• GPU requirements, cost dependencies, coding prerequisites and telemetry behavior are not documented; some tooling paths may involve optional external resources, and the end-to-end data boundary is not established by the documented facts.

Getting started

• Setup difficulty is medium because it requires Git submodules plus Python dependency installs for the tooling. First run: git submodule update --init --recursive, then pip install -r tools/prompts-library/requirements.txt and pip install -r tools/prompts-library/scripts/requirements.txt.

Evidence and sources

• README
• README
• README: ```bash git submodule update --init --recursive pip install -r tools/prompts-library/requirements.txt ```
• README
• README

Source updated at: 2026-10-12T19:59:22Z

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