Building an AI-native engineering org
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Story details from Hacker News ↗ · linked article on twitter.com.
Building an AI-native engineering org was first seen on Hacker News · Front page on Oct 30, 2026. Since then it has appeared in 71 checks on 2 different days. Its best position was #14 of 30, reached on Oct 30, 21:22 UTC. It dropped off the list after Oct 31, 11:07 UTC.
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Not a single mention of value or revenue. Only three metrics went up: LOC, token spend and presumably release speed/frequency. What's the markup (profit/COGS)? is it up? Customer satisfaction? Is NPS moving one way or another?
This post is funny to me, because I feel it falls well short of what a proper, forward-thinking "AI-native" engineering org would actually look like. That is, the author is presenting this as kind of a radical departure from normal engineering, but I just see it as normal engineering with more AI. I don't see that as…
It this point, a whole lot of teams have been leaning into AI-first, not-entirely-reviewed code since around March this year. That means we are already 6-8 months in, and not far from having a full year of experience of what that actually looks like, albeit weirdly influenced by the increase in model capabilities…
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Not at the moment. It was last on the list on Oct 31, 11:07 UTC, after 2 days of trending.
#14 on Hacker News · Front page, on Oct 30, 21:22 UTC. Trendoday checks this list every 15 minutes.
It was first seen on Oct 30, 2026 and has been on the list on 2 days (71 checks) since.
131 points and 168 comments; submitted by sgondala_ycapp on Oct 29, 2026.