FlexiLingo
Why software factories fail without humans | HumanLayer, Warp & LinearB
In this special episode, Andrew hosts HumanLayer CEO Dexter Horthy, Warp Head of Product Engineering Aloke Desai, and LinearB COO Dan Lines. They debate why human ownership of pull requests remains nonnegotiable and how to implement "night vision" observability across automated workflows. The panel also explores why incident management is the final frontier for AI and how to get your team excited about building the factory instead of fighting it. Get the guide: Your software factory needs a context layer Follow the show: Subscribe to our Substack Follow us on LinkedInSubscribe to ou...
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B2 · 中高级
能看懂电视新闻就会觉得轻松
- 76% 的单词在 B1 或更简单的水平。
- 每分钟 195 词：自然语速，偏快。
- 整集共有 229 个较难的单词（B2 及以上）。
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Today, we're tackling the emerging software factory discussion in the industry.
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本集中 8 个较难的单词。点一个查看释义，然后标记一下。
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这一集适合你吗？
B2 · 中高级
能看懂电视新闻就会觉得轻松
- 76% 的单词在 B1 或更简单的水平。
- 每分钟 195 词：自然语速，偏快。
- 整集共有 229 个较难的单词（B2 及以上）。
文字稿
本集开头部分。完整文字稿在播放器中。
较难的单词（B2+）
Welcome back to Dev Interrupted, brought to you by Linear B. Today, we're tackling the emerging software factory discussion in the industry. Engineering leaders everywhere are moving towards a model where AI agents lead the way, while humans move increasingly to the edges.
In a problem that says massive productivity gains, but brings up a critical question. How do you actually know if this kind of factory is working? is working? Are the agents driving value or are they quietly generating a mess and hiding costs? And these are the questions that more and more are asking as we start to explore this topic in our industry.
So Linear B and Dev Interrupted brought together a panel of experts to break down the context layer needed to govern these kinds of workflows, what signals you need to instrument first, first and how to tie it all to impact in ROI. Here's our discussion on the Agentic Software Factory.
以上是开头部分。 本集其余部分（58 分钟）在播放器中：每个单词都可点击，附翻译、生词收藏和单词卡。
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