TL;DRCloud tasks fit the work you do not need to watch (long test runs, batch generation, scheduled jobs), but they draw from the same quota as your local messages. The strategy in one line: keep watched work in the CLI, toss unwatched work to the cloud — and hold only one heavy-job slot across both queues.
Sources SOURCES
Distilled from public community discussions. This page only breaks them down and verifies — it never reposts the original; opinions belong to their authors.
Facts FACTS
Check these claims against the listed sources. For allowance mechanics, first-party account displays outrank community summaries.
- Cloud tasks and local CLI messages share the 5-hour window and the weekly window quota (the official limit-system explanation and community discussions agree).
- Cloud tasks execute server-side and do not occupy your local machine; they suit long-running, no-interaction task types.
Concepts CONCEPTS
Not everything said in a community thread is a fact — each concept carries its nature label. Read the label first.
The community split is clean: work where you look at the output to decide the next step goes to the local CLI (short feedback loop); fire-and-forget work (long tests, batch jobs) goes to the cloud (higher parallelism).
Because quota is shared, one heavy local job plus one heavy cloud job burns the same pool twice and both lanes hit the wall together. The fix seen across multi-user practice: at any moment keep exactly one heavy-job slot, and queue cloud tasks behind the local heavy job.
The completion-notification design makes cloud tasks a natural fit for 'submit before bed, collect at breakfast' — schedule the recovery window onto sleep and you use quota and clock at the same time.
Takeaways TAKEAWAYS
When to choose a cloud task: the task can be fully described in one prompt, a failure costs you little (reruns are cheap), and it runs long enough that you do not want it hogging a terminal. All three — send it to the cloud. Missing any one — keep it local.
Queueing strategy is really concurrency control in quota terms: local and cloud are two exits from the same wallet. Who gets today's heavy-job budget? The lane with the shorter feedback loop — usually local.
The 'a cloud task silently ate my local quota' complaints almost always trace back to not budgeting the submission into the day's plan. Treat it as your most expensive commit and the conflict disappears.
Treat cloud tasks and public reset events separately: reschedule a batch only after the announcement scope covers your account and Usage confirms delivery. Archive pressure alone is not a scheduling signal.
Keep reading NEXT
Want today's verdict? Back to the live radar.