How-toSelected72°

Alibaba Releases 68-Page AI Native R&D Practice Handbook at Yunqi Conference

Why we picked it

The handbook turns vague "AI native development" talk into concrete organisational and infrastructure decisions, from guardrails to permission systems, that teams rarely document publicly. Engineering managers and platform teams designing their own agent-based delivery pipelines can benchmark their setup against Alibaba's five-challenge framework. The full text is free to read online, and the MCP and CLI tooling sections align with workflows developers in the region already use.

Alibaba officially released its "AI Native R&D Paradigm Practice Handbook" at the Yunqi Conference's AI Native R&D Practice Forum.

Body

The 68-page handbook draws on three internal business case studies, extracting five shared challenges: environment and verification-driven development, platform capability upgrades, efficiency measurement, digital employees, and organisational alignment.

It also maps Alibaba's enterprise AI R&D infrastructure, covering the Harness framework, enterprise knowledge bases, tooling via MCP, Skill and CLI, sandbox and coding environments, identity and permissions, production safety guardrails, and observability.

A free online reading version is available at ai-native.alistatic.

com.

Original · shao__meng

阿里官方在正在进行的云栖大会 “智启原生 研见未来” 阿里巴巴集团 AI Native 研发实践论坛上,正式发布了「AI Native 研发范式实践手册」 68 页的实践手册,从阿里内部三个真实业务实践案例出发,讲述了不同团队研发范式演进路径中的实际探索与反思。 从这些案例中提炼出五个共性挑战:环境与验证驱动、平台能力升级、提效度量、数字员工和组织配套,尝试回答研发流程、协作方式和组织设计层面正在发生的结构性变化。 最后,进一步展开 企业级 AI 研发基础设施的技术全景:从 Harness 框架、企业知识库、工具体系(MCP / Skill / CLI),到 Sandbox 与 Coding 环境、身份与权限、生产安全 Guardrail 以及可观测能力,进而阐述让 Agent 从“能写代码”走向“可靠交付”所需要的系统性工程建设。 手册在线阅读地址 ai-native.alistatic.com/app/ainativein…📊 2 ⚡

Industry Coordinates & Source Verification

This report is categorized under AITOP's "How-to" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Alibaba, AI Native, agents, MCP.

Source attribution: curated from shao__meng (@shao__meng).