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Terminal-AI-Coding-Handbook-V1.0

anyue-git

A practical handbook for terminal newcomers, covering Shell, Git, SSH, Homebrew, Python, Docker, and AI coding CLIs (Claude Code, Codex CLI, Grok CLI), with a focus on Mac users and a workflow of verifying changes before committing.

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Last updated

2026-07-27

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FR-AI / ANALYSIS

Why it is worth attention

It provides a structured, actionable workflow that integrates AI CLI tools with traditional terminal skills, emphasizing safe habits like checking git diff and running tests before commit, and offers modular chapters that can be read independently.

Who it is for

  • Mac users who are new to the terminal or Linux
  • Developers using Claude Code, Codex CLI, or Grok CLI
  • Programmers wanting to learn Git, Python, Docker, and SSH fundamentals
  • Mac users needing to set up remote GPU development or connect to Ubuntu servers

Use cases

  • Learning basic terminal commands and shortcuts for daily work
  • Using AI CLI tools to make controlled code modifications with review
  • Setting up a remote GPU development environment from Mac to Linux
  • Establishing a complete end-to-end development workflow with Git and AI tools

Strengths

  • Mac-first approach provides consistent, real-world examples
  • Covers multiple AI coding CLIs (Claude Code, Codex CLI, Grok CLI) with detailed chapters
  • Emphasizes safe practices: check current directory, test changes, review diff before commit
  • Modular structure allows readers to skip hardware-dependent sections (e.g., GPU) without loss

Considerations

  • Primarily targets Mac users; Linux or Windows users may need to adapt some commands
  • Some chapters (e.g., AI CLI tools) rely on rapidly evolving software, requiring readers to consult official docs
  • GPU remote development section assumes access to an Ubuntu machine with NVIDIA GPU and appropriate network setup

README quick start

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Description

终端与 AI 编程手册|面向 Mac、Linux 与现代 AI CLI 的实用开发指南。A practical handbook for Terminal, Shell, Git, SSH, Claude Code, Codex CLI, Docker, Python and remote GPU workflows. 资源

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