关于这一集
On episode 9 of Third Loop, the Progressive Delivery team explores the complicated relationship between AI, automation, and human creativity. Kim Harrison, Adam Zimman, and Heidi Waterhouse discuss AI’s ability to lower technical barriers and reduce toil, along with its tendency to strip away context, reinforce sameness, and confidently produce answers it does not understand. Along the way, they encounter whale dictionaries, ancient scrolls, AI-written memos, autonomous tractors, and the dangerously comfortable “Yes Bubble.”
The post appeared first on Heavybit.
英语
美国
文字稿 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
本播客中的其他单集
In this debut episode of Third Loop, James Governor, Kim Harrison, Heidi Waterhouse, and Adam Zimman explore how the concept of Progressive Delivery emerged from real-world frustrations with how the industry talked about shipping software. Drawing on experiences from companies like GitHub and Lau...
In this episode, the hosts unpack the thinking behind the name Third Loop and what it represents. Building on ideas from their book Progressive Delivery, they explore the gap between shipping software and having it truly adopted by users. The conversation dives into feedback loops, user agency, a...
On episode 2 of Third Loop, Kim, Heidi, and Adam sit down with Kent Beck. They explore how Progressive Delivery extends ideas from Agile and Extreme Programming by focusing on safer releases, feature flags, reversibility, and observability in production. The conversation also dives into AI-assist...
On episode 4 of Third Loop, Elisabeth Hendrickson and Joel Tosi join the hosts to discuss systems thinking, software delivery, and why organizations often solve the wrong problems. They explore their upcoming book Signals and Levers, unpacking the CREATE framework and the illusions of progress, p...
On episode 5 of Third Loop, Heidi Waterhouse, James Governor, Adam Zimman, and Kim Harrison dig into the hype around AI-generated code and ask a deceptively simple question: if code is “free,” what does it actually cost? From token pricing and maintenance overhead to user value and developer judg...
免责声明: 本页面嵌入的播客和封面图片来自 Heavybit，归其所有者所有，与 Listen Notes, Inc. 无关联，也未获得 Listen Notes, Inc. 背书。
