Zareef Ahmed : Bigdata and Devops Consultant + Programmer for cloud

How to Set Up the OpenAI Codex CLI

How to Set Up the OpenAI Codex CLI

How to Set Up the OpenAI Codex CLI

Part of my AI & code experiments.

The OpenAI Codex CLI is a coding agent that runs in your terminal: OpenAI’s answer to a hands-on, command-line assistant. It reads your repo, plans changes, edits files, and runs commands, all from an interactive terminal UI. Here is how I set it up.

What you need first

Install the CLI

Pick whichever fits your setup:

# npm
npm install -g @openai/codex

# Homebrew
brew install --cask codex

# Standalone installer (macOS/Linux)
curl -fsSL https://chatgpt.com/codex/install.sh | sh

Sign in and run it

Move into a project folder and launch it:

cd my-project
codex

On first launch you are prompted to sign in. The easiest path is Sign in with ChatGPT, which uses your existing plan. If you would rather bill through the API, set an environment variable instead:

export OPENAI_API_KEY="your-key-here"
codex

Working in the terminal UI

Codex opens an interactive session where you describe a task and watch it work. A few things worth knowing early:

Stay the quality control

An agent that can edit files and run commands is powerful and a little dangerous. Keep approval modes tight until you trust a workflow, work in a clean git branch so every change is reviewable, and read the diff before you commit. The agent does the typing; you own the outcome.

The Codex CLI moves quickly, so check the official Codex CLI docs for the latest commands and options.

Go deeper

You Are the Quality Control

The OpenAI Codex CLI lets you write code faster than ever, but speed without judgement is exactly how bugs, data loss and security holes slip in. My book You Are the Quality Control is a practical guide to building secure software in the age of AI-assisted development, so you can move fast with tools like the OpenAI Codex CLI without compromising security, reliability or data safety.

Inside, you’ll learn how to:

  • Review AI-generated code with a security-first eye, so risky changes never reach production.
  • Put the right foundation, infrastructure and guardrails around AI-assisted projects.
  • Build the habits and quality-first mindset that prevent data loss and costly mistakes.
  • Stay the human in the loop, because the most important layer of quality control is still you.
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