When you start out in coding, you think complex code means smart code.
You want your project to look impressive. You want design patterns. You want six different folders for a basic form. You want databases, message queues, and background workers for an app that only has five users.
It feels like "real engineering."
In reality, you're usually just trying to look clever.
The Problem With "Clever" Code
Clever code makes you feel smart for twenty minutes. Then you have to wake up at 2:00 AM to fix it because nobody—including you—understands how it works.
Every extra piece you add has a cost:
- More files mean more places for bugs to hide.
- More external tools mean more things that can randomly break.
- Big fancy setups turn a five-minute fix into a three-hour headache.
If you can't explain what your code does in plain words on a piece of paper, you don't actually understand the problem yet.
Discipline Means Knowing What Not to Build
There’s a famous quote by programmer Terry Davis that stuck with me:
"An idiot admires complexity, a genius admires simplicity."
Keeping things simple is actually very hard. It means you understand the problem so well that you know exactly what you can throw away without breaking anything.
When I built the daily price bot for local egg traders in Pune, I could have used a database, a virtual server, and a bunch of cloud tools. It would have looked fancy on my resume.
Instead, I wrote fifty lines of basic Python, ran it on a free daily GitHub timer, and sent the text straight to Telegram. Total monthly bill: ₹0. Total time spent fixing it: zero.
When I build systems at Iron & Logic, local cafes and clinics don’t need a heavy website packed with twenty plugins that takes five seconds to open on a phone. They just need a clean page that loads instantly and sends orders straight to WhatsApp.
Real skill isn't about how much code you can write. It's about how much friction you can take away.
Three Rules I Build By
Whenever I write software now, I follow three simple rules:
-
Get the basic logic working first. Optimize later.
Don't build complex caching or speed tricks before you even know if the code works. -
Wrong data is worse than no data.
If an input is broken, fail cleanly right away. Never guess. -
Make mistakes hard to make.
Design your code and buttons so that doing the right thing is easy, and doing the wrong thing is difficult.
The Takeaway
Today, AI can generate hundreds of lines of code in seconds. Code is cheap.
Typing more code isn't where an engineer’s value is anymore.
The real value is knowing what to say no to, what to delete, and keeping things dead simple.