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On 2026-04-25 Peter Steinberger (steipete) ran 50 Codex agents in parallel with…
Brief
The post reports that Peter Steinberger's 'clawsweeper' ran 50 Codex agents in parallel and closed about 4,000 GitHub issues in a single day, showing that in 2026 agent fleet parallelism (not marginally better models or prompts) is driving major gains; rate limits have become the throughput bottleneck, triage is the highest-leverage use case, and the method only works for clear binary decisions.
Why it matters
On 2026-04-25 Peter Steinberger (steipete) ran 50 Codex agents in parallel with his 'clawsweeper' tool (openclaw/clawsweeper) and closed ~4,000 GitHub issues in one day, with a few thousand more queued; throughput was limited by API rate limits.
Key details
- Key signals: parallelism (50x throughput) outperforms marginal prompt quality improvements (~5x), triage (closing stale issues/PRs) is the killer app for agents, and the critical unlock is 'agent fleet' infrastructure rather than bigger models.
- Limitation: this approach succeeds only when tasks have a clear pass/fail signal (e.g., stale yes/no) and breaks down for nuanced judgment; founders who win in 2026 will optimize agent concurrency and infra, enabling solo maintainers to operate at 'team-of-30' speed.