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Claude Code team just built an agent loop system with 18,000 agents 140,000 steps and 90% of the work runs with zero humans typing 0% → 02:11 - move from API calls to managed agents 25% → 04:33 - ship agents 10-15x faster 50% → 08:48 - cut P95... show more

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12,651 görüntüleme • 2 ay önce •via X (Twitter)

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catman profil fotoğrafı

catman2 ay önce

the 02:11 shift from raw api calls to managed agents feels like the key move here. how are failures surfaced when 18,000 agents are running concurrently?

Alex Stone profil fotoğrafı

Alex Stone2 ay önce

90% with no humans typing is the crazy part.

安叫兽|Bird🕊️ 🔶 BNB profil fotoğrafı

安叫兽|Bird🕊️ 🔶 BNB2 ay önce

18,000 个代理一起跑，debug 现场估计比代码还精彩

Alek profil fotoğrafı

Alek2 ay önce

18000 agents?

Max Bevza profil fotoğrafı

Max Bevza2 ay önce

bullish on autonomous agents running wild

Adam · silent data failures profil fotoğrafı

Adam · silent data failures2 ay önce

Ninety percent with zero humans typing is the number; the one I would want beside it is how many of the 140,000 steps produced an artifact someone opened. A loop that large succeeds by summary unless something reads the output. Does the write-up say what checked the work?

Huysolo profil fotoğrafı

Huysolo2 ay önce

Agentic workflows scaling like this is wild, execution speed is completely leaving human bottlenecks behind

Dima Glushakov profil fotoğrafı

Dima Glushakov2 ay önce

The shift from direct API orchestration to managed execution is the section I would study first. Faster setup helps, but model-led fault tracing is what can make a large agent system practical to operate.

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