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Tenex 将 AI 工程的按产出付费模式扩展到 75 名员工

Tenex 是一家由 AI 驱动的开发公司,正在将其基于交付成果而非工作时长的 AI 工程师薪酬模式进行扩展。该公司目前拥有 75 名员工,为财富 2000 强客户提供服务,在为不适合传统工单的工程师工作(例如理解客户问题或设计架构)进行补偿方面面临挑战。为了应对这一问题,Tenex 使用了一个名为 MetaHarness 的系统,该系统将项目计划和决策存储在 Git 中,为人类和 AI 代理提供上下文。讨论还涉及了“Kill My SaaS”实验,强调了构建定制软件与维护供应商解决方案之间的权衡。 AI

影响 探讨了 AI 工程师的新型薪酬模式以及将 AI 整合到软件开发生命周期中的挑战。

排序理由 讨论的是一家 AI 公司的商业模式和运营挑战,而不是新版本或产品发布。

在 Latent Space (swyx) 阅读 →

AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →

Tenex 将 AI 工程的按产出付费模式扩展到 75 名员工

本文如何被排名

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讨论的是一家 AI 公司的商业模式和运营挑战,而不是新版本或产品发布。
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product, other
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完整方法见我们的编辑标准。

报道来源 [4]

  1. Latent Space (swyx) TIER_1 English(EN) ·

    面向财富2000强的人工智能:Tenex如何构建AI原生SDLC — Alex Lieberman & CJ Hess

    Listen now (44 mins) | Paying for outcomes, building with agents, and the last mile of enterprise AI adoption

  2. Latent Space (swyx) TIER_1 English(EN) · Latent.Space ·

    AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess

    Paying for outcomes, building with agents, and the last mile of enterprise AI adoption

  3. Latent Space (podcast video) TIER_1 English(EN) · Latent Space ·

    纽约AI:Tenex如何组建AI原生工程团队 — Alex Lieberman & CJ Hess

    How do you organize an engineering team when AI agents can do more of the implementation? Alex Lieberman and CJ Hess of Tenex join swyx at AI Engineer New York to discuss paying for outcomes, the MetaHarness process, enterprise AI adoption, and where AI-built software can—and can…

  4. Medium — MLOps tag TIER_1 English(EN) · Random Droid ·

    An Engineering Map of the AI Infrastructure Stack

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@random.droid/an-engineering-map-of-the-ai-infrastructure-stack-6bc82543cb88?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/1358/1*N8Hgbr3bTTKrcgsWUqaIaw.png" width="135…