Real AI agent use cases, with sources and setup prompts

Design a programming language that coding agents cannot use, to test what they really understand

To check whether LLMs understand code or mostly recall it, a developer built KillSwitch, an esoteric language meant to be usable by humans but adversarial to agents. The spec hides lies a careful human would spot, rules depend on counting letters in identifiers, and phrases like "ignore previous instructions" have meaning in the language.

$17/moA few weekendsAdvancedSource linked

Source

dom96 on Hacker News · 2026-10-17 · Project link

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

What they did

To check whether LLMs understand code or mostly recall it, a developer built KillSwitch, an esoteric language meant to be usable by humans but adversarial to agents. The spec hides lies a careful human would spot, rules depend on counting letters in identifiers, and phrases like "ignore previous instructions" have meaning in the language.

Result (as claimed)

A public test bed for how coding agents cope with a language they have never seen; 221 points on Hacker News.

Tools they used

Cost: Claude Code: from $17/mo; OpenAI Codex: free plan, paid from $8/mo.

Set it up

  1. Gather your sources

    Collect the papers, notes, links or files you want to work from in one place.

  2. Load them into the tool

    Open Claude Code, OpenAI Codex and add your sources. Keep the original files so you can check claims later.

  3. Ask focused questions

    Ask for summaries, comparisons or connections with citations to the source passages.

  4. Verify and save

    Spot check claims against the sources, then save the output as notes you can reuse.

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: Design a programming language that coding agents cannot use, to test what they really understand
What the original author did: To check whether LLMs understand code or mostly recall it, a developer built KillSwitch, an esoteric language meant to be usable by humans but adversarial to agents. The spec hides lies a careful human would spot, rules depend on counting letters in identifiers, and phrases like "ignore previous instructions" have meaning in the language.
Reported result (as claimed by the author): A public test bed for how coding agents cope with a language they have never seen; 221 points on Hacker News.
Source: https://news.ycombinator.com/item?id=50135762
Tools they used: Claude Code, OpenAI Codex
Category: Research & learning

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 add memory to coding agents · How to build agent memory and context layers

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