Skip to content
Agents tracked: 258 Downloads (7d): 219M up 6.1% GitHub stars: 5.5M VS Code installs: 148M Releases (7d): 293 Agent status: 2 with issues Updated Oct 7, 2026
Recipe

Delegate a Linear issue to Codex and turn the result into a PR

With Codex installed in Linear, you can assign an issue to Codex or mention @Codex in a comment. It runs a cloud task on the linked repository and reports back in the issue.

The problem

Product and engineering teams track work in Linear, but starting a coding agent usually means leaving the tracker. This setup lets anyone send a ticket to the agent and follow its progress where the work is already tracked.

Steps

  1. Turn on Codex cloud tasks: connect GitHub and create an environment with at least one repository mapped to it. This needs a paid plan.
  2. Install Codex for Linear from the Codex settings.
  3. Link your Linear account by mentioning @Codex in an issue comment.
  4. Assign an issue to Codex, or mention it and name the repository you want it to work in.
  5. Optionally, add Linear triage rules that assign matching issues to Codex automatically.

From the official docs

@Codex fix this in openai/codex

Results

  • Codex picks an environment and repository and starts a cloud task.
  • It posts progress in the issue's activity feed, then a summary with a link to the task.
  • You can open a pull request from the result.

As reported by the source (OpenAI Codex docs); AgentGid did not measure these figures.

Takeaway. Triage rules turn the issue tracker into a queue the agent works through.
AgentGid's take

This suits small product and engineering teams already on Linear and GitHub, with someone who can set up a Codex cloud environment. The catch is that cloud tasks need a paid ChatGPT plan, and every PR still needs human review, which matters most if you turn on auto-assigning triage rules. If you'd rather avoid that cost, Pi (Free, OSS) is a terminal alternative, though it has no Linear integration in this data.

The agent used here

Similar use cases

Guides