When I started learning to code, I thought good code meant clever code.
You know, short variable names. One-liners that did a bunch of stuff at once. Logic squeezed into as few lines as possible.
It looked impressive. It felt impressive.
But over time, something became really clear: the code I understood fastest was never the "smart" one. It was always the simple one.
And that kind of changed how I think about writing code.
What "Smart" Code Usually Means
When people say "smart" code, they usually mean stuff like:
really compact logic
clever tricks and shortcuts
doing more with fewer lines
code that makes you go "wait, how does that even work?"
Look, I'm not saying clever code is always bad. Sometimes it makes sense.
But here's what I noticed: that "smart" code? Really hard to read. Especially when it's someone else's code.
You Don't Read Code Just Once
you don't just write code and forget about it.
You come back to it. You need to fix something. You want to add a feature. You completely forgot how that one function worked.
And when the code is simple? All of that becomes so much easier.
Simple code tells you a story. You don't have to stop every few lines and decode what's happening.
Honestly, when I open something I wrote a month ago, I just want to understand it without getting annoyed at myself.
An Actual Example From My Code
Okay, real talk. I was calculating a shopping cart total and wrote this:
# My "clever" version
total = sum([item['price'] * item['qty'] for item in cart if item['available']])
One line. Worked perfectly. Felt efficient.
I stared at it for a minute thinking, “This works… but how am I supposed to change it without breaking something?"
So I just rewrote it:
# Simple version
total = 0
for item in cart:
if item['available']:
total += item['price'] * item['qty']
Yeah, it’s more lines. But at least I could understand it.
Nothing felt hidden. So when I needed to change it, I wasn’t worried about breaking everything.
Debugging Simple Code Doesn't Make Me Want to Quit
When something breaks, I really don't want to untangle some clever nested logic.
I just want to see what went wrong. Where did the value change? Where did the condition fail? What broke and why?
With simple code, the problem usually jumps out at you. With "smart" code, everything's packed so tight that even finding a small bug takes forever.
And as someone still learning, that matters. Debugging is already hard enough without the code itself fighting you.
Simple Doesn't Mean Messy
Wait, I should clarify something.
Simple code doesn't mean:
bad code
repetitive code that could be better
no structure at all
Simple code just means: clear, readable, understandable.
Some of the best code I've seen online is simple. Not because the person couldn't write something fancier, but because they cared more about being clear than being impressive.
Clarity Over Cleverness
I'm not anti-clever-code. I'm just saying: clever code that nobody can read doesn't help me improve.
Right now, I want code that:
I can read without squinting
I can debug without crying
I can actually explain if someone asks
Maybe someday I'll write more advanced stuff. But even then, I hope I don't sacrifice clarity just to look clever.
Because code isn't just about making it work. It's about making it understandable.
And for me, simple code does that way better.
Top comments (4)
It's hard to completely agree, unfortunately, and this is why:
First off, there's no definition of "simple" we can all agree on.
I've met people who'd rather call a repetitive piece of code "simple" over a for loop!
BTW: I'd use map/reduce instead of your for loop, and still call it both "clever" and "simple" and "maintainable".
"Understandable"? Everyhing can be understandable... but some people may need to learn an extra thing or two. Today, we still have many who struggle with Futures and others who believe Observables are "unnecessarily complicated".
I (who spent a lot of time on them), say that using Observables is much "simpler" than NOT using them. So? Where's the truth? I say "simpler" because I know exactly what real-life complexities do Observables solve and how much repetition (=error risk) comes with alternative patterns. Someone who's not aware of those aspects will say Observables are overkill, or stuff like that.
Also, what's the definition of "clever"? Putting everything in one line? When C was born, we used to have fun creating all sorts of
a[b++] += ++c *(d=10)and call that clever (or rather call ourselves clever for being able to read and write things of the like.Then functional programming came along and we learnt that the worst part of code like this is side effects. We also learnt separation of concerns, architecture, etc, so we know exactly why that code was in fact not clever at all.
We may now call clever a different type of code. We could go on explaining why, and those who know the patterns we do would probably agree, whilst others would not.
And... you'd think is simple as that? Try comparing different paradigms. What is simple and clever in one, turns out terribly complicated (to imitate, replicate, etc) in another. Two typical paradigms that fight all the time are imperative and functional...
So.... this comment is growing too long, so I'll conclude with a "simple" goodbye! 👋
Thank you for your time and for sharing such a thoughtful perspective.
I agree that “simple” and “clever” are highly contextual and depend a lot on experience, paradigms, and the problems we’ve learned to solve. Your map / filter / reduce example is a good case where abstraction can actually reduce repetition and error risk, and I can see why that feels both simple and maintainable to someone comfortable with that style.
For me, especially at my current stage, “simple” mostly means immediately readable and easy to reason about when I come back later. It’s less about the number of lines and more about lowering cognitive load for my future self. That’s why I tend to prefer explicit loops while I’m still building confidence and intuition.
I think that’s what makes this discussion interesting,what feels simple evolves as our understanding deepens. Your comment adds valuable nuance, and I appreciate you taking the time to explain your viewpoint
This piece perfectly captures a critical truth about software development: simplicity in code is far more valuable than superficial cleverness. When I first learned to code, I also fell into the trap of chasing "smart" code—using overly compact one-liners, cryptic variable names, and clever tricks to make my code look "impressive." I thought fewer lines equated to better programming skills.
But as the author points out, "smart" code quickly becomes a liability. It’s hard to read, harder to debug, and nearly impossible for teammates (or even future me) to maintain. A single clever one-liner that does five things at once might save a few lines, but it’ll cost hours of time later when someone has to unpack what it’s actually doing. Simple code, by contrast, is self-documenting: clear variable names, straightforward logic, and modular functions make it easy to follow, modify, and fix—even months after it’s written.
Of course, there are edge cases where compact, optimized code makes sense (e.g., performance-critical sections). But for 99% of everyday programming, prioritizing readability and simplicity isn’t just a "beginner" habit—it’s a mark of a mature developer who understands that code is meant to be communicated as much as it’s meant to be executed. This article is a great reminder to reframe how we judge "good code": not by how clever it is, but by how easily it’s understood.
This is interesting.
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