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OpenAI Codex

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description OpenAI Codex Overview

OpenAI Codex turns natural-language instructions into coding work, helping developers create and modify software in multiple programming languages. The name now refers to a coding agent rather than only the earlier code-generating model. Depending on its environment and permissions, it can examine project files, make edits and run commands to check its work. OpenAI describes these environments in its Codex guide.

This makes it useful for experienced programmers delegating bounded tasks, as well as learners seeking explanations of unfamiliar code. Its distinction from simple code completion is the ability to work through a task using the surrounding project as context. Generated changes still require review, because producing plausible code and confirming correct behavior are separate steps.

help OpenAI Codex FAQ

Is OpenAI Codex still just the old code model from 2021?

No. The name Codex originally referred to OpenAI's code generation model, but it is now also used for OpenAI's coding agent products in ChatGPT, CLI, IDE, and desktop workflows.

What can OpenAI Codex do inside a coding project?

Codex can read a repository, answer questions about code, make edits, run commands when allowed, and prepare fixes for review. In agent form, it is aimed at real software engineering tasks rather than only completing a single code snippet.

How is Codex different from GitHub Copilot?

GitHub Copilot is best known for in-editor code completion and chat inside IDEs, while OpenAI Codex is commonly used as an agent that can work across files and terminal commands. Both are AI coding tools, but their workflows can feel different.

What platforms can Codex be used from?

Codex has been available through ChatGPT surfaces, command-line tooling, desktop apps, and IDE integrations depending on account and rollout. The exact feature set can vary by OpenAI plan and workspace configuration.

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