@SumitM_X Yep I know a devops engineer who was at 5 lpa at tcs even after 4 yrs , now switched to L&T technology services and got 12 lpa , the person is very talented but maybe never knew about outside world
Do not keep looking for beginner-friendly content, because for harder topics, there is none. Also, they often optimize for feeling smart rather than becoming smart.
Try to build a habit of reading, watching, and absorbing detailed information and concepts. This will not only help you move away from being spoon-fed, but it will also make you better at abstract thinking.
I believe abstract thinking will become crucial in the coming decade, as the world shifts toward solving more complex and ambiguous problems that are not easily visualized and comprehended.
We are seeing an early sign of the drift with you-know-what. Extrapolating from here, I would say it is going to be increasingly vital for us to think beyond the obvious.
The people who will navigate that well are not the ones who found the best beginner guide. They will be the ones who learned to sit with the hard stuff until it made sense.
Is Traditional Software Engineering Dead?
“Does this mean that traditional software engineering is dead? Absolutely not. Software engineers—even the ones who are not necessarily tuning or training AI models—these are now among the most leveraged people on earth. Sure, the guys who are training and tuning models are even more leveraged because they’re building the tool set that software engineers are using.
But software engineers still have two massive advantages on you. First, they think in code, so they actually know what’s going on underneath. And all abstractions are leaky. So when you have a computer programming for you—when you have Claude Code or equivalent programming for you—it’s going to make mistakes.
It’s going to have bugs. It’s going to have suboptimal architecture. So it’s not going to be quite right. And someone who understands what’s going on underneath will be able to plug the leaks as they occur.
So if you want to build a well-architected application, if you want to be able to even specify a well-architected application, if you want to be able to make it run at high performance, if you want it to do its best, if you want to catch the bugs early, then you’re going to want to have a software engineering background.
The traditional software engineer is going to be able to use these tools much better. And there are still many kinds of problems in software engineering that are out of scope for these AI programs today. The easiest way to think about those is problems that are outside of their data distribution.
For example, if they need to do a binary sort or reverse a linked list, they’ve seen countless examples of that, so they’re extremely good at it. But when you start getting out of their domain—where you have to write very high-performance code, when you’re running on architectures that are novel or brand new, when you’re actually creating new things or solving new problems, then you still need to get in there and hand code it.
At least until either there are so many of those examples that new models can be trained on them, or until these models can sufficiently reason at even higher levels of abstraction and crack it on their own…
And remember: there is no demand for average. The average app—nobody wants it, at least as long as it’s not filling some niche that is filled by a superior app. The app that is better will win essentially a hundred percent of the market. Maybe there’s some small percentage that will bleed off to the second-best app because it does some little niche feature better than the main app, or it’s cheaper, or something of the sort.
But generally speaking, people only want the best of anything. So the bad news is there’s no point in being number two or number three—like in the famous Glengarry Glen Ross scene where Alec Baldwin says, “First place gets a Cadillac Eldorado, second place gets a set of steak knives, and third place you’re fired.”
That’s absolutely true in these winner-take-all markets. That’s the bad news: You have to be the best at something if you want to win.
However, the set of things you can be best at is infinite. You can always find some niche that is perfect for you, and you can be the best at that thing. This goes back to an old tweet of mine where I said, “Become the best in the world at what you do. Keep redefining what you do until this is true.”
And I think that still applies in this age of AI.”
Some thoughts that tore apart everything I've believed in the last 5 yrs.
Harmonious v Obsessive Passion and greatness
1) Harmonious is feeling love/joy for something, intrinsic motivation but no compulsion
2) Obsessive is ego-driven (validation, power, etc) and is compulsive
@manav2906 3 . I feel fear whem am stuck and boxed
4. Again no big wins yet so idk that feeling but always I feel to embrace the craft
5 . I love finding patterns and maps cuz maybe I feel in long term that wins but I have been doing this for long time now and now I want is results
@manav2906 At different times I feel both..
1. When it comes abt acheivments I feel i gotta win and be respected and when it comes about learning and I find something intresting i go depths in it..
2. Maybe I havnt acheived anything noticing so I havnt experienced feeling alive that way
i can't write css for shit
i don't even know mern stack
i don't know dsa
i can't make projects without asking gpt for what to do every step of the way
i can't code for more than 10 minutes straight without checking my socials
i can't code without loud music blaring in the background
i don't finish half the shit i start
i don't end up doing half the shit i say i'm gonna do
IM STILL GOATED ASF
just putting it out there for some people having some kinda fomo that they are not cracked or some shi because everyone on here only shares the good parts
@adithya_s_k I always used to feel this that how do u even pull such consistency and doubt if ur really a human but now ya i can confirm ! 😂 You are truly an inspiration to me bro, I have learnt a lot from you and still learning, keep inspiring and teaching❤️