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Chapter 07

Setting Up Your AI Workspace

Vibe coding is a partnership. You bring the intent and judgment; the AI brings speed and tireless typing. But like any partnership, it works best with a shared environment, clear ground rules, and a safe place to make mistakes. This chapter is about building that environment before you write a single feature.

A good workspace does three things: it gives the AI the context it needs to make smart changes, it lets you see the results of those changes fast, and it makes every change easy to undo. Get these right and the AI feels like a senior collaborator. Get them wrong and it feels like a slot machine. The difference is rarely the model — it's the room you put it in. A capable in a chaotic repo with no tests, no context file, and no version control will flail; a modest one in a clean, well-instrumented project will surprise you. The setup is the multiplier.

None of this is busywork you do once and forget. Treat your workspace as something you tune continuously: every time the AI surprises you in a bad way, ask whether a missing piece of context, a slow feedback loop, or an unsafe default let it happen — then fix the room, not just the line of code.

  1. 07.1Choose an AI-Native Editor or Assistant
  2. 07.2Structure Your Project So the AI Can Navigate It
  3. 07.3Write a Context File (AGENTS.md)
  4. 07.4Make Version Control a Reflex
  5. 07.5Keep the Feedback Loop Tight
  6. 07.6Manage Secrets Carefully
  7. 07.7A Sane Local Setup Makes AI Changes Safe
  8. 07.8Live Diagnostics (LSP)
  9. 07.9Extending Your Agent
  10. 07.10macOS vs Windows
  11. 07.11TUI vs GUI
  12. 07.12Harness Engineering
  13. 07.13Cost Safety: CLI vs API
  14. 07.14Recap and Practice

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