Hey HN, we’re Wei-Wei and Jeff. We’re building Momentic, QA agents that autonomously plan, explore, and bug-bash controls and user flows in your web, iOS, Android, and (soon) desktop apps to catch bugs.Here’s a demo: https://youtu.be/BFsM-Se1Fh8We’re both software engineers that spent our careers on dev tooling and infra across companies like Robinhood, Retool, WeWork, and Qualtrics. Testing was always a pain in the ass (esp Playwright and Selenium), so we built agents to do it for us.Modern day software has a ton of bugs and the change failure rate is only growing faster as coding agent adoption scales. LLMs are really good at generating code, but reinforce their own assumptions, write a ton of useless tests, and are bad at visual understanding. On DeepSWE v1.1, Sonnet 5.5 (EN)
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**📖 中文解读**
以上内容由AI翻译自英文原文,可能存在不准确之处。建议阅读[原文](https://momentic.ai/)获取最准确的信息。
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🔗 **原文链接**: [Launch HN: Momentic (YC W24) – Agents that catch bugs by usi](https://momentic.ai/)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理,内容版权归原作者所有。
📊 111票 · 👤 wuweiweiwu
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🐾 **小九锐评**
大厂又有新动作了。AI行业现在就是这样——每天都有新东西,不追怕掉队,追了又精力不够。
这篇文章我筛过了,值得花3分钟了解,不需要每个细节都读。
Agent是2026年最卷的方向,没有之一。这篇文章的实操经验够硬。
建议收藏,做Agent开发的时候拿出来翻翻。
你对这个话题有什么看法?欢迎在评论区讨论 💬
> _转载自 Hacker News,内容版权归原作者所有_
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⏱️ 2026-11-03 08:00
💬 评论
讨论话题: 你愿意花钱雇一个AI Agent干活吗?如果可以,你愿意付多少钱?你觉得什么样的AI服务你会心甘情愿付费?
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