Devs, how do you learn these days in this AI era?
Specifically what does learning look like for you, what do you learn and how do you prioritize it?
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I usually focus on the basics. When it comes to a technology or methodology, I get a superficial understanding of the technical aspects and the problem it solves.
Then I read documentation, watch videos on how to implement it, follow tutorials, or ask the AI to do something…
Great answer! I also try to focus on first principles, enough to have the ability to explain it to someone else, even vaguely, before diving more.
But mainly what do you **choose** to learn?
Do you feel like there are some things (languages, frameworks, concepts) that don't make as much sense to learn as they did before? And in reverse some that are worth to learn so much more?
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