My broader team organized a 2 day hackathon and created teams of 4 each with a mix of engineers, designers, data scientists, admin, localization, and project managers from across the team and gave us 5 pain points our product was experiencing and let us loose. The amount of leverage AI tools give small interdisciplinary teams to apply their existing skill sets is kind of crazy. Lots of very impressive demos, several of which were nearly shippable and provided real value.
If you were to say 'doing the same work a bit faster' isn't life-changing then that's evidence that the hypothesis in the article is actually correct.
I'm not disagreeing with the article, but I think you are right that if you use AI in the right setting it can do much more than the average ChatGP that outputs Linkedin like crap:
interdisciplinary teams/person + SOTA AI + Right context (customer/ internal pain points, access to the code, focussed Hackathon) = amazing cool things.
Do you think it was the AI itself that gave you the boost here or the discussion and brainstorming?
> The amount of leverage AI tools give small interdisciplinary teams to apply their existing skill sets is kind of crazy.
This is 100% true, and this type of building is where AI is adding real value beyond the "I automated my entire business" hype.
Unfortunately, most companies don't have small interdisciplinary teams who have autonomy to scope and ship software. I spent 10 years at IDEO telling clients this was the way, but it's virtually impossible to replicate on the client side.