Coding
Krutika P. B.
Feb, 2026
Computers don’t care how your code looks.
They don’t care if it’s readable.
They don’t care if it’s elegant.
They don’t care if it makes sense.
Humans do.
And here’s the uncomfortable truth most developers learn too late:
Most code is read far more often than it is written.
Yet we still write code as if the machine is the primary audience.
That mindset is why projects slow down, teams struggle, and bugs survive longer than they should.
The compiler’s job is simple: Turn instructions into execution.
Your job is harder: Communicate intent to future humans.
That future human might be:
A teammate
A new hire
Someone debugging production at 2 AM
Or you, six months from now, wondering “why did I do this?”
If code is hard to understand, it doesn’t matter how correct it is —
it has already failed.
Every codebase is a conversation that spans years.
When humans read code, they are asking:
What is this doing?
Why does it exist?
What assumptions does it rely on?
What breaks if I change this?
Machines only need instructions.
Humans need context.
Readable code reduces:
Cognitive load
Debugging time
Fear of change
Accidental bugs
Unreadable code creates:
Fragile systems
Knowledge silos
Slower teams
Technical debt that compounds silently
Many developers treat readability as “nice to have.”
It’s not.
Readability is a core feature of professional software.
Readable code:
Is easier to test
Is safer to modify
Scales across teams
Survives refactors
Unclear code forces developers to re-derive logic every time they touch it.
That’s wasted time — and wasted trust.
If code is written for humans, naming becomes critical.
Bad names force readers to decode meaning.
Good names remove questions entirely.
Compare:
process($x);
vs
calculateInvoiceTotal($invoice);
The machine doesn’t care.
Humans immediately do.
Clear naming:
Documents intent
Reduces comments
Prevents misuse
Makes bugs obvious
Most “complex code” is actually poorly named code.
Humans read code top-down, not as execution graphs.
That’s why structure matters:
Small functions
Single responsibility
Predictable flow
Logical grouping
Well-structured code answers questions before they’re asked.
Bad structure forces readers to jump:
Across files
Across abstractions
Across mental models
The faster someone understands your code, the safer your system is.
Comments aren’t bad — but they’re often a warning sign.
Good code explains what through structure and naming.
Comments should explain why — not what.
Bad:
// loop through users foreach ($users as $user) {}
Good:
// Users are sorted by last activity to prioritize recent logins
If you need comments to explain what the code does, the code is unclear.
Clever code impresses machines.
Clear code empowers humans.
Highly optimized, compressed, or “smart” solutions:
Are harder to debug
Break assumptions
Age poorly
Create single points of failure
The best senior developers write code that looks obvious.
Because obvious code scales.
Debugging is reading under pressure.
In production, nobody cares how elegant your algorithm was.
They care how fast they can understand it.
Readable code:
Shortens incident time
Reduces mistakes
Makes root causes visible
Unreadable code turns debugging into archaeology.
That’s why teams with “smart code” often move slower than teams with “boring code.”
Machines don’t refactor.
Machines don’t extend features.
Machines don’t maintain systems.
Humans do.
Every design decision should assume:
The code will change
The team will grow
Context will be lost
Pressure will exist
Writing for humans is writing for change.
At CodeAlchemy, we believe:
Code is communication
Readability is leverage
Clarity beats cleverness
Boring code scales best
Frameworks evolve.
Languages change.
But human cognition does not.
If humans can understand your code quickly, your system will survive longer than the technology it runs on.
Machines will execute whatever you give them.
Humans must understand it, trust it, and change it.
Write code that respects the reader.
Because in the end:
The most important compiler is the human mind.