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Large Language ModelsZenn AI/MLPublished: Sep 28, 2026, 22:00 JST

Opus 5.5: /code-review auto-spawns 10 subagents, hits limit in 8 minutes

Opus 5.5: /code-review auto-spawns 10 subagents, hits limit in 8 minutes

3 Key Points

  1. What happened

    From 7/30 to 9/17, /code-review ran 23 times with at most 1 subagent; from 9/23 it launched 10 at once, hitting the 5-hour limit in 8 minutes, then 4 minutes on 9/24.

  2. Why it matters

    The parallel agents produced only 2 real bugs from 13 findings, and user-requested effort levels of medium or high did not reduce the number of agents launched, the author found.

  3. What to watch

    The cause is not isolated; three things changed simultaneously on 9/23 — model, effort, and app version — so which one triggered the behavior remains undetermined. Watch whether lowering effort to medium and capping concurrent subagents prevents the limit from being hit.

WHO IT HITSDevelopers and small teams on Pro plans who use /code-review before pushing code are the most directly affected, since the parallel subagents consume usage limits before delivering their findings.

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Context & Analysis

The author is a non-programmer who runs a small business and uses Claude Code's desktop app to delegate work, starting in July with a rule that any change to calculation logic for client documents must go through /code-review before pushing. From 7/30 to 9/17, those reviews ran with at most 1 subagent 23 times. After Opus 5.5 launched on 9/22 and the model, effort, and app version all changed on 9/23, the review launched 10 subagents at once for the first time, and the pattern repeated the next day.

The 10 subagents split into correctness and cleanup roles, but only 2 of 13 findings were real bugs, and the author adopted none of the 9 cleanup suggestions. The 10-agent runs hit the Pro plan's 5-hour limit in 8 and 4 minutes, with 16 of 26 subagents stopping mid-run over two days. The author's fix was to use one subagent with no context about the code's history, limited to correctness checks, following official guidance that a reviewer should not be biased toward code it just wrote. That run took 19 minutes and found 5 issues, 2 of which were real bugs that had not appeared in the client-facing document numbers.

The outcome hinges on whether the parallel behavior stems from the model's improved delegation, the max effort setting, or the app version, since the author did not isolate the trigger. For others who use /code-review habitually, the author suggests checking the app's usage breakdown when limits seem to drain faster, as the cause may be written there. The official settings to cap concurrent subagents or make the review user-invocable only have not been tested by the author.

FAQ
What changed on 9/23 that may have caused this?
Three things changed on that day: the model (Opus 5 to Opus 5.5), the effort setting (high to max), and the app version (2.1.275 to 2.1.280). The author has not isolated which one triggered the 10-subagent behavior.
How did the subagents affect usage limits?
The 40% of that conversation was subagents, and the run hit the 5-hour limit in 8 minutes on 9/23 and in 4 minutes on 9/24. The weekly limit was also hit on 9/24 at 22:33, with reset three days later.
What fix did the author try, and did it work?
The author switched to a single subagent that only checks correctness without knowing the code's history, based on official best practices. This completed in 19 minutes with 5 findings, 2 of which were real bugs.

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