[dwa3592]

I am not sure how uber is operating internally around the use of tokens but if they actually shipped features faster than before then it is still a win. if they learn that users don't want these features or want a different version of it; they have learned this new knowledge faster than they would have if they manually coded those features, which means in principle you should be able to iterate faster. but this will collide with creative ceiling that humans exhibit in a span of time and on top of that uber is prioritizing spending money on tokens over humans which seems like a mistake. you need humans for creativity.

[kllrnohj]

I used Uber for the first time in like 8 years recently, and near as I can tell it's the exact same thing it was. What features are they even adding at all much less that anyone cares about? You ask for a ride to a place, a driver shows up, money is exchanged - the end?

Sometimes things are actually just finished. They don't need to treadmill.

[datadrivenangel]

They have to make it easier for ubereats orders to have parts of their bill attached to a corporate card and half attached to someone's personal card and be able to split the invoices!

[redhale]

This is "Feature Factory" thinking, and it is usually not ideal. Feature count is a poor metric to optimize against. Instead, ROI and delivered customer value should be the focus of product development investments.

[surgical_fire]

> if they actually shipped features faster than before then it is still a win

Depends on the cost