Real AI agent use cases, with sources and setup prompts

Monitor the hardware of a machine you dedicate to coding agents

A developer dedicated one machine to Claude Code and AI agents and wanted to watch its hardware rather than processes, so he built cpuview: a Rust terminal monitor for each core's clock and load, temperatures, fans, power in watts, RAM, disks and network.

$17/mo1 dayIntermediateSource linked

Source

@aipulseda1ly on X · 2026-10-19

Written in our own words. Credit to the original author. Link checked 2026-10-19.

What they did

A developer dedicated one machine to Claude Code and AI agents and wanted to watch its hardware rather than processes, so he built cpuview: a Rust terminal monitor for each core's clock and load, temperatures, fans, power in watts, RAM, disks and network.

Result (as claimed)

Open source (MIT), built in 4 days; it uses under 0.01% of one CPU thread and about 3 MB of RAM.

Tools they used

Cost: Claude Code: from $17/mo.

Set it up

  1. Pick a contained repo or task

    Start on a branch or side project where mistakes are cheap.

  2. Install and configure

    Set up Claude Code, Rust. Read what it can run on your machine and limit permissions where possible.

  3. Run it on a real task

    Give it a well-scoped issue and let it work. Review the diff like any pull request.

  4. Add guardrails

    Keep tests and CI in the loop, and never let an agent push to main or touch production secrets unattended.

Copy the full setup prompt

Paste into your agent and it will walk you through the setup, asking before anything that sends, posts or spends.

You are helping me set up this AI use case end to end in Claude Code.

Goal: Monitor the hardware of a machine you dedicate to coding agents
What the original author did: A developer dedicated one machine to Claude Code and AI agents and wanted to watch its hardware rather than processes, so he built cpuview: a Rust terminal monitor for each core's clock and load, temperatures, fans, power in watts, RAM, disks and network.
Reported result (as claimed by the author): Open source (MIT), built in 4 days; it uses under 0.01% of one CPU thread and about 3 MB of RAM.
Source: https://x.com/aipulseda1ly/status/2112181984235839761
Tools they used: Claude Code, Rust
Category: Dev & ops

Please:
1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like).
2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure.
3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data.
4. Finish with a checklist to run it again next time.

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Guides for this use case

How to vibe code an app with Claude Code · How to run multiple coding agents together · How to observe and debug AI agents

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