Have you changed the way you learn? Maybe you started off using docs and tutorials and are now an avid book reader or course watcher? Or maybe you do less long-form content now and prefer shorter tuts/docs/screencasts?
And in an age of AI have you changed what you learn? Maybe you now only get more of an overview and leave the details for your AI tools? Or do you still aim for a good understanding of the languages and frameworks you use?
Initially, I watch video tutorials/courses. But reading a good book after on the topic is much more fulfilling for me. I feel like I learn better through reading text. But of course, actually writing code enforces my learning.
Not much has really changed for me. Official docs and books are still my go-to sources. I like reading the docs from start to finish, and I also enjoy the structured approach of books from publishers like Manning, PragProg, and O’Reilly.
When it comes to AI, I think it’s helped me use my time better. I’ll often have it summarize articles, videos, or whatever else so I can decide whether it’s worth diving into the whole thing. I also use it to clear up small doubts, but I’m pretty cautious with that since I don’t fully trust the answers it gives. I always make sure to double-check.
I still like books, video courses, screencasts and official docs too. I think they are still the best way to get a really good understanding of something. Blog posts on specific topics are really useful too!
Yes, recently work for a completely different environment.
Everything is in windows. The tech stack is different. And people mindsets are different either.
Not to deny it is a successful business, to me, just treat myself as a newbie, though people are curious about the way to ask some simple questions and spend a lot of time on simple work. However, once you understand more, you will be more strong.
But for troubleshooting AWS EKS, some AI gives out solution that doesn’t exist (no such configuration parameters), over complex solution to solve a problem or even wrong answer.I think AI may be good at some aspects (e.g. programming) of IT but not all of them.