There was a strange room at Hogwarts.
The Room of Requirement.
Whatever you needed, the room became exactly that.
Need a place to practice?
The room appears.
Need somewhere to hide something?
The room changes.
In other words: one room, many use cases.
In software engineering, this idea is dangerously attractive.
We love building abstractions that we imagine will handle every future requirement.
Suppose we need a payment flow.
But then we start thinking:
Today, it’s card payments.
Tomorrow, we might need bank transfers.
The day after, maybe crypto.
Maybe we’ll need multiple payment gateways.
Maybe retry policies should be configurable.
Maybe we’ll need country-specific rules.
So what started as a simple payment service becomes:
Interface – Strategy – Factory – Adapter – Resolver – Config layer – Event layer
The requirement was one.
The system was built for ten.
The problem is that Hogwarts’ Room of Requirement had magic.
Our abstractions don’t.
We have to guess future requirements.
And the more we guess, the more generic our abstractions become.
The biggest danger with generic abstractions is that they often look very “clean” at first.
Beautiful names.
Beautiful layers.
Beautiful diagrams.
Then, a few months later, a real requirement arrives.
And it doesn’t fit the flexibility we imagined.
So the exceptions begin.
One if.
Then another flag.
Then specialCase = true.
Eventually, the abstraction that was supposed to make the system future-proof becomes the biggest obstacle to changing it.
This is where YAGNI — You Aren’t Gonna Need It — becomes important.
YAGNI doesn’t mean you should never think about the future.
It means asking:
Is there a real requirement for the flexibility that I’m adding complexity for today?
Good abstractions usually don’t start out “generic.”
They start by solving a specific problem.
Then a second similar use case appears.
Then a third.
A pattern starts to emerge.
Then the abstraction comes out of that pattern.
In other words:
Don’t design for every possible future. Design so that change is possible when the future actually arrives.
The Room of Requirement could become anything because it had magic.
Our software can’t.
And sometimes, while trying to build a system that “can do anything,” we end up building one where even the simplest thing becomes unnecessarily difficult.
So before introducing another abstraction, there’s one question worth asking:
Is this solving a real problem we have today, or an imaginary problem we might have in the future?
The difference between those two is often the difference between clean architecture and over-engineering.
