OpenAI Codex
OpenAI Codex is an AI coding agent that works inside ChatGPT, an editor, or the terminal to write code, fix bugs, and review pull requests. It runs tasks in the cloud or in parallel agents, giving engineers a way to hand off multi-step work and review the results.
#2 in Coding & Development ToolsAI Coding AssistantsFree plan
Who it's for
Best for
Developers who want an agent to take on hard bugs and multi-file refactors
Teams that want automated pull request review before merging
Not for
Heavy daily users who need a predictable allowance across long sessions
Developers who need a rock-solid editor plugin that never drops a message
Features
Parallel multi-agent work
Codex runs many agents in parallel and uses computer and browser tools to verify work until requirements are met. Progress and results are followed and steered in one place.
Cloud tasks per repository
Codex keeps working in the cloud after the laptop is closed, using reusable environments for each repo, and tasks can be picked up from another device.
Automated pull request review
Codex reviews pull requests automatically, surfaces findings, and answers questions about the changes, so engineering teams keep code moving.
One agent across surfaces
The same agent runs in ChatGPT, an editor extension, and the terminal, all connected through a single ChatGPT account.
Plugins and external tools
Plugins connect other tools and add specialized capabilities, giving Codex the context and access to act across connected apps.
What users say
Pros
- Finds hard bugs and refactors from a vague description without much hand-holding.
- Builds complete working projects, from a browser game to a static site, from single prompts.
- A twenty-dollar monthly plan comfortably covers maintaining two codebases.
- Runs well as an extension inside Rider, Cursor and VS Code alongside the CLI.
Cons
- A short session of ordinary prompts can exhaust the five-hour allowance, forcing a wait before more work.
- Automatic approval checks quietly consume a large share of the token budget during long sessions.
- Simple coding requests can stall in loops, with long stretches where no usable code is produced.
- The agent sometimes reports tests as passing or work as finished when nothing actually ran.
- The editor extension can freeze or silently drop messages, leaving a task stalled until restarted.
- Tasks that used to finish in a couple of minutes can now run for twenty minutes or more.
A selection of the review sources we used:
Summarized from public user reviews and community discussions. View details
Global Traffic Rank
OpenAI Codex lives on a page of a larger website, so its own traffic cannot be measured. It is ranked on user reviews only.
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