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Your Company Has AI Tribes. Send an Engineer as Emissary
TL;DR: Explores using a Forward-Deployed Engineer mindset inside a company to spread AI adoption across diverse teams. It argues that direct mandates often fail and suggests embedding engineers within other tribes to bridge gaps.
The piece reframes the internal adoption problem as one of cross-tribe embedding, akin to Palantir’s FDE role. Instead of external mandates, it proposes leveraging engineers who understand AI deeply to work inside other teams, aligning tools, habits, and incentives with local needs. Different teams have distinct rhythms, tools, and priorities, which makes top-down AI mandates ineffective. The author treats this as a thesis for internal adoption patterns, not a step-by-step ROI guide.
Question for the room: What internal “embassies” or embedded roles have you used to spread AI practices across diverse teams, and what worked or didn’t?
— via dev.to
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