Draft
The Dilemma:
The field which used to be the coolest in terms of building the things which people could never have imagined, is now going through the biggest existential crisis of it's time. Everyone knows and talks about it.
Not because it has become too hard, but because it has become too easy. Just to give a rough context again, because that's what we fortunately still have ( TILL December, 31 of 2025 )
We are at a point where the latest models (whether 4.5 or 5.2 ) can write amazing lines of code in minutes. Work that used to require a week of setup, debugging, and complicating can now be done in five minutes with decent quality.
The Hidden Cost of Convenience
The problem is that the "struggle", that day or week we used to spend banging our heads against the wall, was what kept our brains fresh. That friction is what built the cognitive connections and helped us internalize edge cases.
When you switch entirely to AI coding, it becomes a one-way road. Logically, your brain tells you: "Why waste energy thinking about this when the machine can do it instantly?"
But without that friction, you stop maintaining those fresh connections. You risk a hard reboot. It becomes difficult to learn new things because you aren't actually processing the logic; you’re just managing the output.
Deep Blue vs. Kasparov
People love to compare this moment in chess Deep Blue vs. Kasparov. They say, "People thought chess would die when computers won, but the game is still alive."
The same happened with racing; cars are faster than humans, but we still run track.
But coding is not a sport. Chess and running are about human performance and interaction. We watch them because they are human. Coding is about efficiency and productivity. If a machine is infinitely more efficient, the "sport" of coding dies.
Because we are in the nascent stage of this tech, it’s easy for everyone to claim, "I know what I’m coding, I’m ahead of the game." But we are currently riding on the momentum of our old habits. We still remember the loops; we still have the muscle memory of reading code.
The Inevitable Winter
In a few months or a year, that muscle memory will fade. When you don't process what you write, your mind loses the ability to grasp the system's architecture. The people who strictly "prompt" and claim they understand the output will eventually hit a wall.
This might be masked in the AI field where things are changing too fast to notice, but in established fields like Backend Systems, Infra Java, App Development, Full Stack, Legacy Architecture, the gap will be glaring.
So What does the Logic Say?
So, how do you fight this lost battle?
My bets and hopes is to consciously choose the "hard way", You go to gym, when you never have to lift dead iron anywhere else. So the only thing which can keep these old knees functioning is to make an honest attempt to stay in touch with the principles, read the code ( Be it AI slop ), and to understand the logic, design the system yourself, even when it’s faster not to.
To stay on top of things, we have to refuse to let our minds go on autopilot. We have to keep struggling, even if the battle seems already lost.