---
id: "lib-2026-10-19-seven-ai-native-r-and-d-organisation-pilots"
type: "library"
title: "Seven AI-native R&D organisation pilots"
title_original: "阿里云 7 个样板间，探索 AI 原生研发组织的实践"
lang: "ZH"
org: "Alibaba Cloud 阿里云 (InfoQ)"
source_type: "Practitioner post"
date: "2026-10-19"
week: "2026-W43"
url: "https://nosov.ai/library/lib-2026-10-19-seven-ai-native-r-and-d-organisation-pilots/"
original_url: "https://www.infoq.cn/article/2uG3W14THqtLhb5Vou51"
tags: ["lane a", "business transformation", "operating model", "enablement"]
---

# Seven AI-native R&D organisation pilots

Original title: 阿里云 7 个样板间，探索 AI 原生研发组织的实践

## English summary

Seven internal pilot teams: about 2/3 of requirements no longer read by humans, value-judgement accuracy more than 90%, response time -45%, about 80% of PRDs AI-drafted; 100% of alerts get first-pass agent triage, 200+ defects found in 6 months (more than 70% reproducible, agent-fixed then reviewed); product, dev and security merged into one team with a single owner per requirement; marketing campaign cycle from months to 1 week. Playwright render (InfoQ is JS).

Original: https://www.infoq.cn/article/2uG3W14THqtLhb5Vou51