Codex guide

Codex usage limits: what happens when a long task stops?

When a Codex task reaches a usage limit, the important thing is not simply waiting — it is preserving the exact task and returning to the right environment after usage becomes available again.

What actually gets interrupted?

The run stops, but your underlying project and task intent still exist. The practical risk is losing track of which conversation, task, project or host should continue once the limit clears.

What should you keep track of?

Why not just start a fresh task later?

A fresh task can lose context, repeat work, make different assumptions or act on the wrong project state. For long-running coding work, continuity is usually safer than recreating the task from memory.

What should happen after the limit resets?

Return to the same task, verify that the expected environment is available, check the project state, and continue from the interruption point. If the original host or task cannot be verified, waiting is safer than guessing.

Where does Continua fit?

Continua is being built to automate this specific interruption workflow on macOS: observe a supported Codex usage-limit interruption, keep the exact task and reset together, wait, then continue the same task when the expected environment is ready. It does not bypass or extend Codex limits.

Want this part handled automatically?

Codex usage limits interrupt the AI coding task. Remembering to return is another interruption. Continua for Mac is designed to preserve the same task, wait for actual usage availability, then auto-resume in its original supported environment.

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Short answer

A Codex usage limit should be treated as a paused workflow, not a reason to recreate the task. Preserve the exact task, reset timing and environment, then continue that same work after usage returns.

Next: how to resume the task after the reset →

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