u/kadoop-234

I'm confused for people with ~2YOE, how much system design is actually needed to crack interviews, as some people say we have to do HLD as well, some say LLD in depth is enough. I'm confused what are the actual requirements here. Can somebody shed some light on this topic.

I mean just getting a simple good job is such a tough thing, it baffles most of us.

I need some guidance regarding DSA here.
Actually due to my job, I can't give that much time to DSA, just say 1-2 questions max per day.
The main problem isn't this, the problem is no matter what I do I can't seem to get hold of DSA, sometimes if I logically get the answer on how to solve it, I can't code it right. I always have to take the help of any LLM.

On top of that I have time constraints as well as I plan to switch in the end of this year that is December. If anyone has gone through this or have tackled it.

Recently I saw a new technique, the spaced repetition basically, Day 1- solve, day 3- revise, day-5 revise and then lastly day 10- revise. This plan seems fine but the main problem doing the same for every questions would take me forever, so I guess a list of questions is needed which covers all the pattern recognition path by path, learning and everything needed because of this spaced repetition technique question count has to minimal.

Can you guys enlighten me on this, how you people done it despite having a tiresome job?