Real AI agent use cases, with sources and setup prompts

Run open-source AI agents through behavioral tests and file the bugs you find

A team ran 53 open-source AI agents through behavioral tests to see how they act on real tasks, then filed bug reports with the projects.

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Source

YaoAnthony on Hacker News · 2026-10-18 · Project link

Written in our own words. Credit to the original author. Link checked 2026-10-18.

What they did

A team ran 53 open-source AI agents through behavioral tests to see how they act on real tasks, then filed bug reports with the projects.

Result (as claimed)

37 bugs filed across the agents tested.

Tools they used

The source does not name specific tools.

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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

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  3. Ask focused questions

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  4. Verify and save

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

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Goal: Run open-source AI agents through behavioral tests and file the bugs you find
What the original author did: A team ran 53 open-source AI agents through behavioral tests to see how they act on real tasks, then filed bug reports with the projects.
Reported result (as claimed by the author): 37 bugs filed across the agents tested.
Source: https://news.ycombinator.com/item?id=50136669
Tools they used: not named in the source
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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How to run multiple coding agents together

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