Give coding agents a disposable Linux VM instead of your laptop
Built Clawk so coding agents run in a disposable Linux VM rather than directly on your machine.
Source
celrenheit on Hacker News · 2026-07-13 · Project link
Written in our own words. Credit to the original author. Link checked 2026-10-15.
What they did
Built Clawk so coding agents run in a disposable Linux VM rather than directly on your machine.
Result (as claimed)
Open-sourced with a Show HN launch.
Tools they used
Cost: Claude Code: free plan, paid from $17/mo; OpenAI Codex: free plan, paid from $8/mo; Cursor: free plan, paid from $8/mo. Checked 2026-10-14.
Set it up
Pick a contained repo or task
Start on a branch or side project where mistakes are cheap.
Install and configure
Set up Claude Code, OpenAI Codex, Cursor, docker. Read what it can run on your machine and limit permissions where possible.
Run it on a real task
Give it a well-scoped issue and let it work. Review the diff like any pull request.
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: Give coding agents a disposable Linux VM instead of your laptop What the original author did: Built Clawk so coding agents run in a disposable Linux VM rather than directly on your machine. Reported result (as claimed by the author): Open-sourced with a Show HN launch. Source: https://news.ycombinator.com/item?id=48892859 Tools they used: Claude Code, OpenAI Codex, Cursor, docker 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.
You are helping me set up this AI use case end to end in Codex. Goal: Give coding agents a disposable Linux VM instead of your laptop What the original author did: Built Clawk so coding agents run in a disposable Linux VM rather than directly on your machine. Reported result (as claimed by the author): Open-sourced with a Show HN launch. Source: https://news.ycombinator.com/item?id=48892859 Tools they used: Claude Code, OpenAI Codex, Cursor, docker 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.
You are helping me set up this AI use case end to end in Grok Bot. Goal: Give coding agents a disposable Linux VM instead of your laptop What the original author did: Built Clawk so coding agents run in a disposable Linux VM rather than directly on your machine. Reported result (as claimed by the author): Open-sourced with a Show HN launch. Source: https://news.ycombinator.com/item?id=48892859 Tools they used: Claude Code, OpenAI Codex, Cursor, docker 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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