it really is amazing how many people have no interest in doing a good job, nor even any interest in protecting their good name.
AI Product Management
11–20 of 45 posts
Re: AI Product Management
#12I'm not sure some of this is a good idea. It reads a bit like "These LLMs are great! We can get rid of those pesky engineers!". It reminds me of the xkcd[1] about how some problems are trivial and some are almost impossible and as a layman you don't know which is which. That's more true than ever will LLMs, everything is new and so very few people actually know what is easy and what is hard. When you say "You can go off and do this without engineers and use AI to help you" what you are actually saying is "You can go and be a bad engineer". That's fine, if you don't have any engineers, then that's probably the best option. But if you're sensible probably a 5 minute conversation with someone who knows what they're talking about is more useful. In my experience as an engineer, the people who do jobs related to my job and think they can do my job: are crap at my job, generally not that good at their own either, and very difficult to work with.
I think the more interesting question for the PM is how are you going to make a differentiated product in the market if everything you're planning to build is trivial? If it's not trivial, maybe talk to an engineer or two.
Re: AI Product Management
#13Cron: bug devs about tickets that are late
Cron: bug devs every day at a given time for updates aka a standup
Given an epic with keywords organize tasks into that epic and estimate the time and then track if it’s on track or not.
Yeah not a lot to PM work.
Ooh also a 50/50 coin flipper to saying no to adhoc things
There that’s an AI PM
Re: AI Product Management
#14How to use AI to write articles about how to use AI as a product manager for your AI app on your journey to being replaced by an AI product manager
How to rank at the top of HN using AI to write articles about how to use AI as a product manager for your AI app on your journey to being replaced by an AI product manager
yodawg.ai
Re: AI Product Management
#15it really is amazing how many people have no interest in doing a good job, nor even any interest in protecting their good name.
I think one can protect their good name without embracing the capitalistic grind.
For most people jobs are just a necessity to earn income to eat and have shelter.
Life for many is only counting outside office hours
Re: AI Product Management
#16Cron: bug devs about tickets that are late Cron: bug devs every day at a given time for updates aka a standup Given an epic with keywords organize tasks into that epic and estimate the time and then track if it’s on track or not. Yeah not a lot to PM work. Ooh also a 50/50 coin flipper to saying no to adhoc things There that’s an AI PM
100%
A couple of cron jobs can easily automate this for my team. Most of the PMs I've seen in the wild only do this.
Very few PMs are actually valuable to a team from the product perspective.
Re: AI Product Management
#17So I guess the effect of the design decisions at the beginning will go towards zero as one approaches to the limits of the context window :)
Re: AI Product Management
#18[dead]
Re: AI Product Management
#19Andrew Ng made another point about AI product management in a previous piece [1] that I found both thought-provoking and a bit contrarian, and I’m surprised he didn’t mention it here. In that earlier piece, he went beyond just advocating for concrete specs and explicitly challenged the traditional design-thinking approach, arguing that teams should pick a fully formed idea and run with it rather than spending too long on broad problem exploration and multiple potential solutions. It’s a stance that favors speed and specificity over the more open-ended, iterative nature of design thinking.
Curious what others think about forgoing design thinking in AI product development in favor of this more direct, concrete approach.
[1] https://www.deeplearning.ai/the-batch/concrete-ideas-make-st...
Re: AI Product Management
#20Andrew Ng made another point about AI product management in a previous piece [1] that I found both thought-provoking and a bit contrarian, and I’m surprised he didn’t mention it here. In that earlier piece, he went beyond just advocating for concrete specs and explicitly challenged the traditional design-thinking approach, arguing that teams should pick a fully formed idea and run with it rather than spending too lon…
Yes. This is intuitively true. Solid specs can be built with high % of AI assist and can be executed fast. Vague specs and exploration would take forever compared to the prior. One can build 10 concrete ideas in a span of a single exploration