车间中的学习
TL;DR · AI 摘要
Shopify通过公开Slack频道实现代码助手River的协作学习。
核心要点
- River在公开Slack频道中运行,促进全员学习。
- Shopify采用德国术语'Lehrwerkstatt',将工作场所变为学习空间。
- Midjourney早期成功得益于公开实验和用户间学习机制。
结构提纲
按章节快速跳转。
思维导图
用一张图看清主题之间的关系。
查看大纲文本(无障碍 / 无 JS 友好)
- Shopify的开放学习机制
- River工具
- 公开Slack频道
- 非私信交互
- Lehrwerkstatt理念
- 工作即学习
- 全员可见性
- Midjourney对比
- 公开实验机制
- 用户间学习
金句 / Highlights
值得收藏与分享的关键句。
River不回应私信,建议创建公开频道进行协作。
Shopify希望成为大规模的‘教学车间’,让每个人都能从工作中学习。
Midjourney早期的成功部分归因于公开实验和用户间的学习机制。
11th May 2026 - Link Blog
[Learning on the Shop floor](https://twitter.com/tobi/status/2053121182044451016). Tobias Lütke describes Shopify's internal coding agent tool, River, which operates entirely in public on their Slack:
River does not respond to direct messages. She politely declines and suggests to create a public channel for you and her to start working in. I myself work with river in
#tobi_riverchannel and many followed this pattern. Every conversation is therefore searchable. Anyone at Shopify can jump in. In my own channel, there are over 100 people who, react to threads, add color and add context, pick up the torch, help with the reviews, remind me how rusty I am, and importantly, learn from watching. [...]As so often with German, there is a word for the kind of environment: _Lehrwerkstatt_. Literally: A teaching workshop. The whole shop floor is the classroom. You learn by being near the work. Being a constant learner is one of the core values of the firm.
Shopify wants to be a Lehrwerkstatt at scale and River has now gotten us closer to this ideal than ever. It’s _osmosis learning_, because it does not require a curriculum, a training plan, or a manager. It just requires everyone's work to be visible to the maximum extent possible. Everyone learns from each other.
I'm reminded of how Midjourney spent its first few years with the primary interface being public Discord channels, forcing users to share their prompts and learn from each other's experiments. I continue to believe that the early success of Midjourney was tied to this mechanism, helping to compensate for how weird and finicky text-to-image prompting is.