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Codex

Codex is OpenAI's AI coding agent for building software, integrated into ChatGPT and developer tools for autonomous coding, debugging, and repository tasks.

CodingAgents

How it works / How to use

Codex is OpenAI's AI coding agent for building software, integrated into ChatGPT and developer tools for autonomous coding, debugging, and repository tasks.

  1. Open Codex in your editor, terminal, or browser workspace.
  2. Describe the change, bug, or feature with file paths and expected behavior.
  3. Review suggested diffs or commands before applying them.
  4. Iterate with test output or error messages when the first pass is incomplete.

How to prompt

Codex agents can work from issues to implementation across a repository.

Fix GitHub issue #247: add input validation to the signup form and write tests for edge cases.

Best output tips

  • Include file paths, stack, and error output verbatim.
  • Ask for tests or type checks when changing production code.
  • Review every command before running destructive operations.
  • Verify current plans and limits on the official Codex website.

Try this AI

Try Codex

Product Details

Pricing, features, limits and latest updates

Codex

Codex is OpenAI's AI coding agent for building software, integrated into ChatGPT and developer tools for autonomous coding, debugging, and repository tasks.

No listed price

Pricing Plans

No listed plans.

Key Features

Chat

chat workflow (openai.com).

Automation

automation workflow (openai.com).

Agents

agents workflow (openai.com).

Ideas / Prompt experiences

Share a prompt that worked for you. Username and email are shown with your submission. External links are not allowed.

Example prompt

Implement from issue

Prompt

Fix GitHub issue #247: add input validation to the signup form and write tests for edge cases.

Short explanation

Codex agents can work from issues to implementation across a repository.

Example prompt

Codebase migration

Prompt

Migrate this Express.js API to Fastify while preserving endpoint behavior and updating integration tests.

Short explanation

Agentic coding supports large refactors with test verification.

Share your experience

Required fields are marked. Variation, result, and explanation are optional.

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