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

If AI is that good, can someone code a good XML library with AI? The spec is available.

If AI is that good, there should be an explosion of Open Source projects of good quality.

Neither of those is happening.

Many people are seeing huge gains in coding productivity with AI. If you're not one of those people it might be useful to evaluate why you aren't experiencing any benefits, instead of claiming that there are none.

> Many people are seeing huge gains in coding productivity with AI.

I don't want to speak for the person you replied to, but I think that their main point is... are they?

I see lots of articles about huge increases in productivity, but I think it's fair to argue that we've yet to see the huge increases in useful products that would surely (we hope) result from that if it were true.

I'm speaking just to coding productivity. I think AI does very little for business development or creativity type issues.

People should realize that denying that AI can boost productivity in coding makes it look like they don't know how to use it, or believe in some conspiracy that no one is actually benefitting and it's all market hype from tech bros.

I believe in some conspiracy that no one is actually benefitting. I don't want to blame marketing, it's genuinely very cool that I can give Cursor a description of what I'm trying to do and get a result that's like 80% correct. But I've repeatedly found that going from 80% to 100% takes just as much time and effort as it would have to do it myself from the start.

I've shadowed people who believe AI is helping them, and it seems to me that some of them don't notice how much effort they're spending while others don't bother to correct the 80% version once tests are passing.