Have you ever looked at a function and thought:
“Why is this so complicated?”
Or tried to fix a bug, only to find five layers of indirection, cryptic abstractions, and clever tricks that make your head spin?
If so, you have run into a violation of one of the oldest and most important principles in software design: the KISS Principle, which stands for Keep It Simple, Stupid.
This chapter explores what the KISS principle really means, how complexity creeps into code, and how keeping things simple leads to better software.
The KISS principle was coined by the U.S. Navy in the 1960s and has since become a foundational idea in engineering.
Definition:
“Most systems work best if they are kept simple rather than made complex. Therefore, simplicity should be a key goal in design.”
In software, this means writing code that is:
The simpler the code, the fewer the bugs. The fewer the bugs, the more reliable the system.
Let’s say you are building a calculator for basic arithmetic operations: add, subtract, multiply, divide.
A junior developer on the team decides to make it "future-proof" by designing an inheritance-based framework:
Then the Calculator class looks like this:
This design is flexible. You can add more operations. You can inject behaviors. It is also completely overengineered for a four-function calculator.
What would have been a few simple if
or switch
statements now requires an interface, four classes, and extra indirection. This is a classic example of violating the KISS principle.
Let’s revisit the calculator example and apply the KISS principle.
This is simple. It works. It is easy to read, easy to test, and easy to extend if needed. If a future requirement demands pluggable operations, then and only then should you refactor.
Simple code is obvious. Complex code takes longer to understand. The more mental effort it takes to comprehend a method, the harder it becomes to maintain or extend.
Unnecessary abstractions, extra layers, and clever tricks all create hiding spots for bugs. What appears elegant today may become a maintenance nightmare tomorrow.
New developers take longer to ramp up when the codebase is filled with over-complicated logic, obscure naming, or deeply nested design patterns.
Simple code is easier to trace, test, and troubleshoot. Complexity increases the time and effort needed to identify issues.
Optimizing for readability and clarity helps everyone on the team. Your future self will thank you.
Abstractions should emerge from repetition or clear need, not from imagination.
Simple, flat structures often work better than deep hierarchies.
Small functions are easier to understand and test. If a function is hard to name, it’s probably doing too much.
Stick to patterns and structures that are widely recognized. Do not reinvent the wheel when a simple List, Map, or loop can do the job.
Just like any principle, KISS should not be applied blindly.
The goal is not to write the simplest possible code. It is to write the simplest sufficient code.
The best code is the code that’s easiest to understand—not the code that impresses other developers with cleverness.
Keeping things simple does not mean dumbing things down. It means choosing clarity over cleverness, readability over abstraction, and function over form.
So the next time you write a class, ask yourself: "Can I make this simpler?"
Because good design starts with keeping it simple.