AI coding tools have changed how fast teams can move.
In early use, they remove friction and accelerate small tasks. But when introduced into larger systems with multiple contributors, shared context, and long lived code, the gains often stop compounding.
This post looks at why AI productivity breaks down at scale. Not from a hype or model quality angle, but from a systems perspective.
Sharing this to compare experiences with others building real software:
https://www.kavia.ai/resources/blog/when-ai-doesnt-fulfill-promise
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