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Using Manus to Rebuild Manus: Practice and Lessons from an AI-Native Org Overhaul用 Manus 改造 Manus，AI Native 组织改造的实践和思考
用 Manus 改造 Manus，AI Native 组织改造的实践和思考Using Manus to Rebuild Manus: Practice and Lessons from an AI-Native Org Overhaul

Interview潜云思绪（Founder Park 转载）4

Guests: 张涛 · Manus

Manus co-founder Zhang Tao on how R&D, product and marketing rebuilt themselves around agents: engineers run a dozen-plus tasks at once, PMs ship code, and AI spend topped $10K per person a monthManus 联合创始人张涛复盘研发、产品、市场三个团队如何用 Agent 改造自己：一人同时推进十几个需求，产品经理直接提交代码，人均月 AI 开销超 1 万美元
Manus 联合创始人张涛复盘研发、产品、市场三个团队如何用 Agent 改造自己：一人同时推进十几个需求，产品经理直接提交代码，人均月 AI 开销超 1 万美元Manus co-founder Zhang Tao on how R&D, product and marketing rebuilt themselves around agents: engineers run a dozen-plus tasks at once, PMs ship code, and AI spend topped $10K per person a month

Read the original · mp.weixin.qq.com ↗

Key points

  • R&D built Manus-mono: not a merged monorepo but one entry point plus a manual written for AI, with Git worktrees, the full stack running locally, permissioned access to production logs and end-to-end checks with test accounts; humans still approve releases.

    研发做了 Manus-mono：不合并代码，而是统一入口加一本给 AI 看的说明书，配合 Git worktree、本地完整运行、受控读线上日志和端到端测试账号验证，审批权仍在人手里。

  • Engineers paste Slack requests verbatim into rows of Codex and Manus sessions and routinely juggle 10–20 tasks; a 7-person mobile team covers 2 products and 4 apps.

    工程师把 Slack 需求原文直接丢给一排 Codex 和 Manus Session，一人同时推进十几、二十个需求已成常态；移动端 7 人负责 2 个产品、4 个 App。

  • About half the PMs ship features end to end and all have committed code; some requirements now arrive as videos instead of PRDs, gated by an in-house code-review bot.

    约一半产品经理能独立把需求做到上线，所有产品经理都提交过代码；部分需求用视频（PRV）代替传统 PRD，自建代码审核机器人把关。

  • Marketing’s “digital colleague” triages Slack interruptions on its own, proactively flags project status, and can file feature requests that trigger Manus Automations to extend its own tools.

    市场团队的“数字同事”在 Slack 里自己判断要不要被打断、主动提醒项目进度，还能通过反馈接口触发 Manus Automations 给自己加功能。

  • September AI spend topped $10K per person; Zhang argues it buys time and attention, that using the best models is how you learn their limits, and that costs will fall as the product improves.

    9 月人均 AI 开销超 1 万美元，张涛认为买的是时间和注意力，用最好的模型也是摸清能力边界的方法，成本会通过产品优化下降。

Quotes

  • “One person can build every platform for a single requirement.”

    「一个需求，一个人可以写完所有端。」

  • “First, this money doesn’t buy labor; it buys time and attention.”

    「第一，这笔钱买的不是人力，而是时间和注意力。」

  • “In an AI-native organization, people’s role hasn’t shrunk; it has become more concentrated.”

    「在 AI Native 组织里，人的角色没有变小，而是更集中了。」
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