Codex CLI Description

Codex CLI is a powerful open-source AI tool that runs in your command line interface (CLI), offering developers an intuitive way to automate coding tasks and improve code quality. By pairing Codex CLI with your terminal, developers gain access to AI-driven code generation, debugging, and editing capabilities. It enables users to write, modify, and understand their code more efficiently with real-time suggestions, all while working directly in the terminal without switching between tools. Codex CLI supports a seamless coding experience, empowering developers to focus more on building and less on managing tedious coding processes.

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Pricing

Pricing Starts At:
Free
Pricing Information:
Open source
Free Version:
Yes

Integrations

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Reviews - 1 Verified Review

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Company Details

Company:
OpenAI
Year Founded:
2015
Headquarters:
United States
Website:
openai.com

Media

Codex CLI Screenshot 1
Codex CLI Screenshot 1
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Product Details

Platforms
Windows
Mac
Linux
Types of Training
Training Docs

Codex CLI Features and Options

Codex CLI Lists

Codex CLI User Reviews

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  • Name: Anonymous (Verified)
    Job Title: CTO
    Length of product use: 6-12 Months
    Used How Often?: Daily
    Role: User
    Organization Size: 26 - 99
    Features
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    Codex CLI review

    Date: Aug 02 2026

    Summary: Codex CLI is a strong tool for developers who want a local, terminal-native AI coding agent backed by OpenAI. It is not something I would run blindly, but as a supervised coding partner for repo exploration, fixes, refactors, and day-to-day engineering work, it is very compelling.

    Positive: Codex CLI is great because it brings OpenAI’s coding agent directly into the terminal. I like that it fits into a normal developer workflow instead of forcing everything through a separate web app or IDE extension.

    It can read, modify, and work with code locally, which makes it useful for debugging, refactoring, exploring a repo, and handling coding tasks without leaving the command line. That is especially nice for developers who already live in terminal-first workflows.

    I also like that it is part of the broader Codex ecosystem. If I want the same general agent experience in an IDE, desktop app, or ChatGPT’s cloud-based Codex, there are options for that too.

    Negative: I would still supervise it closely. Any AI coding agent that can touch local files and interact with a dev environment needs review, tests, and clear boundaries.

    It can also run into the usual coding-agent issues: setup problems, API/config errors, terminal quirks, command failures, and tool-use mistakes. A recent empirical study of Claude Code, Codex, and Gemini CLI found that many reported bugs in these tools involve functionality, integrations, configuration, terminal behavior, and command execution.

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