Augment Code 官方最新动态：AI transformation is a systems problem: a conversation with Justin Reock, DX

来源：Augment Code 官方动态 | 发布日期：2026-04-28T19:29:53.554Z

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Every engineering leader I talk to is trying to transform. They want their teams to be AI-native. They're rolling out tools, tracking adoption, watching dashboards. But the harder questions are the on

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Every engineering leader I talk to is trying to transform. They want their teams to be AI-native. They're rolling out tools, tracking adoption, watching dashboards. But the harder questions are the ones most leaders aren't asking out loud. What are we actually trying to change? What does success look like? How should we be thinking about this? Justin Reock, CTO at DX, spends his days talking to engineering leaders about exactly these questions. DX sits on top of telemetry and survey data from hundreds of thousands of engineers across hundreds of companies, including a longitudinal study of 500 companies tracking PR velocity from November 2024 through February 2025. I sat down with him for the latest episode of . The data tells a clear story: AI is exposing a systems problem that was always there. The companies winning right now are the ones who see it. The data says calm down. It also says you've been looking at the wrong thing. Here's the headline number from DX's study: a 7.5% median uplift in PR velocity. The average was 13%. The top performer hit 70%. "Who wouldn't invest in the 10 or 15 percent uplift in overall productivity?" Justin asked. "I think we just need to start allowing ourselves the grace that 10 or 15 percent is actually successful."

更多技术细节可访问官方原文：https://www.augmentcode.com/blog/ai-transformation-is-a-systems-problem。