They can take away your job, they can take away your house. They can take away all your money.
But nobody can take away who you are.
Fix your who you are then building will be 100x easier
Never operate from a place of scarcity. Never.
The world will constantly convince you that playing it safe is the smart choice. And maybe it is. But even if you succeed that way, there’s a good chance you’ll still wonder someday: Could I have done more? Could I have become more?
The more you rely on your mood to decide your actions, the less control you have over your life. Feelings are unstable by nature. Building your day around them is like building a house on a broken foundation.
When the years pass and you make little progress, there are usually two reasons: either the intensity and consistency of your focus are sufficient, but you are on the wrong direction; or you underestimate the price you need to pay despite being in the right direction.
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.”
People don't procrastinate because they lack discipline. They procrastinate because their brain literally cannot see what they're losing by standing still.
It only registers what action will cost, effort, risk, discomfort. The loss of staying the same? Invisible. That's why "you should do this" never works. But "you're falling behind by not doing this" does.
People say they value authenticity, but what they actually test for is consistency.
If they have to keep calculating “which version of you is here today?”, they might like you, but they won’t bet important decisions on you.
Only a handful of people want to truly see you win, rest just want to compare to measure their own progress and feel good about themselves.
And if they cannot feel good about themselves they will try to pull you
In order to create a false sense of victory