←back to thread

Andrew Ng says bottleneck in AI startups isn't coding – it's product management

(www.businessinsider.com)
120 points cl42 | 1 comments | 27 Aug 25 19:43 UTC | HN request time: 0.206s | source
Show context
xenotux ◴[30 Aug 25 15:23 UTC] No.45075415[source]▶
Coding as such is seldom a bottleneck to begin with. How many times have you been in a conversation along the lines of "we have every detail of the product figured out, but we need another month for the coders to finish writing the code"?

The bottlenecks are almost always elsewhere. Design, quality assurance and debugging, art assets, localizations, hiring, performance management, you name it. And to be fair, AI can streamline some of that.

replies(4): >>45075460 #>>45075490 #>>45075564 #>>45075643 #
1. crystal_revenge ◴[30 Aug 25 15:40 UTC] No.45075564[source]▶
> quality assurance and debugging

This is still part of “coding”. It doesn’t make any sense to say you’ve “finished coding” when the program doesn’t actually work as required.

I’ve been aghast to see developers present an unequivocally broken product and try to argue making it not visibly broken is “scope creep”.

I mean, that’s why we argue so much about the best ways to write code: we want to reduce the incidence of bugs and make it easier to correct unexpected errors.