Essay

Think Like a Computer

2 min read
The Role

You Are a Translator

You are not a software developer. You are a translator. The kind that takes what humans mean and turns it into something a machine can actually do. And like any translator worth their salary, you need to be fluent in both languages.

The problem? Most developers today are fluent in human. Barely conversational in computer. And there's a new translator in town — one that doesn't sleep, doesn't complain, and is getting better every week … AI..

A computer doesn't see files. It sees inodes, offsets, and page-aligned memory addresses. It doesn't read your variable name customerName and think "ah yes, a person." It sees a raw memory address dereferencing a location on the heap — get that wrong by one byte, and congratulations, you have a segfault. It doesn't do things together — it executes one instruction per clock cycle, per thread. What looks like parallelism is just the OS scheduler lying to you convincingly. Your stack grows downward, your heap grows upward, and somewhere in between, a race condition is waiting for exactly the wrong moment.

Pre-AI Era

Learning on the Job

Before AI, the computer taught you its language the hard way. A segfault forced you to learn what a pointer actually is. A null pointer dereference taught you that "nothing" is not the same as "empty." A stack overflow — the real one, not the website — showed you how deep your recursion rabbit hole went. A memory leak quietly ate your server's RAM for six hours until it fell over at 3 AM. A deadlock froze everything and made you stare at two threads waiting for each other — like two people frozen in a doorway — until you understood what a mutex is for.

These weren't bugs. They were tuition fees.

Post-AI Era

The New Conundrum

AI just gave you a full scholarship — and quietly removed the curriculum.

AI will write code that won't segfault, won't leak, won't deadlock. Every sharp edge that used to cut you and teach you something — smoothed over, handled, gone.

"If AI handles all of this, why learn it?"

Because AI will write code that works. It just won't tell you it missed a race condition buried three threads deep. It won't flag that the algorithm it chose is elegant but wrong for your memory constraints. It won't mention that there's a simpler, faster solution — one that a developer who thinks like a computer would have seen immediately. AI optimizes for correct. You need to optimize for better. And you can't push back on something you don't understand.

Learn the fundamentals. Because without them, you don't speak computer, You're just hoping AI got it right. Start to think like a computer. And you won't just survive the AI wave — you'll thrive in it.

Pankaj Sarda

Engineering Leader

Building systems in bits, atoms, and books. Bridging high-scale software infrastructure and real-world operations.

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