I've always considered Stack Overflow research to be very valuable. Less for the answer to my question and more for the related topics, edge cases, and other details that frequently are included in thorough answers / comments / discussions.
When AI answers your question (and only your question), that's great for that specific instance, but it feels to me like it's lacking in breadth. I wonder if that results in the user becoming really, really reliant on said AI as they don't fully grasp the interconnectedness of coding? Just a thought.
That's a fair take. I can't overstate Stack Overflow has been in the past, I think I often had that experience that it usually caters to common but specific scenarios, or I'm just impatient and lurk instead of asking a question and waiting for a response. Interesting I could paste Stack overflow discussions into ChatGPT to ask if this insight is related to my issue and it was usually open to relating the new info and helping me
I think it's great that GPTs make it possible for people to achieve things like this! And kudos to you for stepping out of your comfort zone and learning new stuff.
I think the main apprehension people (/devs) have about this, is how the new generation of full time coders will be. Will they blow our socks away, with their AI-enhancements? Or will they never have learned the core concepts, but just jump from issue to issue like a junior for ever?
When AI answers your question (and only your question), that's great for that specific instance, but it feels to me like it's lacking in breadth. I wonder if that results in the user becoming really, really reliant on said AI as they don't fully grasp the interconnectedness of coding? Just a thought.