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Agents in the Wild

Claude Cowork sized a 10,000-node cluster in 30 seconds

During a live call, the writer dumped nomad-job-inspect data for a 10,000-node cluster into Claude Cowork and asked for memory/CPU requirements by job, datacenter and SKU. It built the table in under 30 seconds.

Done withClaude CoworkSpotted· by HN user ghshephard· Oct 21, 2026

Result Estimated at 3-4 hours done by hand

“Cowork had it for me in under 30 seconds - I didn't even have to really look away from the zoom.”
From the source: Hacker News · 2026-08-11

Spotted: found in the wild. Details are as reported by the source above and have not been independently verified.

What they did

During a work call about a reasonably complex 10,000 node cluster with jobs, allocations and memory constraints, the writer ran a nomad-job-inspect on a couple hundred jobs. They dumped all that data into Claude Cowork, in real time while on the call, and asked it to get the memory and CPU requirements based on job, datacenter and SKU constraints and give a summary table.

How it went

Claude Cowork had the table ready in under 30 seconds, without the writer needing to look away from the call; they estimate the same analysis would take a normal person 3-4 hours, or a minimum of 10 minutes even for themselves.

Try it yourself with Claude Cowork
Here's a dump of [raw infrastructure/job inspection data] for [number] jobs across our cluster. Give me the memory and CPU requirements broken out by job, datacenter, and SKU, and summarize it all in one table.

A starting prompt written by Agents in the Wild. Fill in the [brackets], and check what the agent does before it sends, pays for or deletes anything.

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