Direct answer
A Codex approval queue is the operating list for pending human decisions inside AI coding work. The queue should show what command is blocked, why it matters, which repo it affects, what tests ran, and who is responsible for the next decision.
Where it fits
- Several Codex branches pause overnight and the morning on-call reviewer needs the highest-risk item first.
- A repository has different rules for deploys, write-file changes, and external network requests.
- A team lead wants to see which AI coding sessions have been idle too long.
Operational steps
- Create queue lanes for critical, high, medium, and low risk decisions.
- Attach repo, branch, task age, command class, diff size, and test status to every item.
- Set rules that auto-pause credential access and deployment while allowing low-risk read-only tasks.
- Record every approval, redirect, pause, and rollback request in the approval log.
Common risks
- A flat list hides critical approvals behind low-risk copy changes.
- No owner field means urgent handoffs can sit unattended.
- A queue without immutable history is weak evidence for security or customer delivery reviews.
How MobileCodex Ops helps
MobileCodex Ops makes the queue actionable on mobile: sort by risk, repository, duration, and reviewer lane, then open a compact decision card for each paused Codex session.
Ready to test the workflow?
Review a live-style decision card, then choose the Team annual plan when you are ready to unlock approvals.
Review a live-style decision card, then choose the Team annual plan when you are ready to unlock approvals.