FlexiLingo
Why AI made code review the new bottleneck, and the metric that spotted it | Newsela's Dee Wilcox
You can't automate a planning process that only some of your teams follow. This week on Dev Interrupted, Newsela CTO Dee Wilcox joins Dan Lines, LinearB's COO and co-founder in our AI Enablement interview series. She shows how Newsela brought dev cycle time down from four days to closer to two, and why she treats code review time as a measure of how long engineers wait for feedback. They close the conversation on proving AI ROI to the board, where Dan makes the case for cost per effective PR, a metric that only counts the PRs that ship without...
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When an engineering org goes all in on AI, the middle of the process gets fast and the ends get expensive.
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B2 · 中高级
能看懂电视新闻就会觉得轻松
- 84% 的单词在 B1 或更简单的水平。
- 每分钟 174 词：自然语速，偏快。
- 整集共有 103 个较难的单词（B2 及以上）。
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较难的单词（B2+）
Welcome back to Dev Interrupted, brought to you by Linear B. When an engineering org goes all in on AI, the middle of the process gets fast and the ends get expensive. Dee Wilcox, CTO at Newsela, can tell you exactly where the cost landed. Her team had baseline KPIs in place before they took the guardrails off.
So when Dev Cycle Time fell toward two days and Code Review Time climbed towards four, she had the numbers to see it happen and the team break down to know whose queue it was sitting in.
Dan asks her, what do you do about that? And the takeaways could be part of your own playbook. Here's Dan's conversation with Dee. In this episode of Linear B's AI Enablement interview series,
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