What an AI-Native Engineering Operating Model Actually Looks Like
AI agents write code faster than ever, but the bottleneck moved to human decision latency and review capacity. Here is the operating model that closes it: roles, rituals, and metrics.
AI agents write code faster than ever, but the bottleneck moved to human decision latency and review capacity. Here is the operating model that closes it: roles, rituals, and metrics.
When AI coding raises the arrival rate of pull requests, telling reviewers to work faster is the wrong move. Fix reviewability and end-to-end flow instead.
Why the rise of Forward Deployed Engineering is the next agility problem, and how to scale "unreasonable agility" without it eating itself.