Building an AI-Native Engineering Org: Lessons from FurtherAI

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The author shares lessons from building an AI-native engineering organization over nine months at FurtherAI, where code changes merged per engineer grew significantly while revert rates remained low. By automating tasks like testing, code review, bug intake, and rule enforcement through AI agents, the team successfully accelerated shipping. However, this shift created a new bottleneck around planning and decision-making, leading the organization to push greater ownership and end-to-end responsibility onto engineers and engineering managers. Open article →

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