Your Architecture Doesn't Rot Overnight
As deadlines become tighter, convenience starts winning.
👋 Hello, this is Valentina with the free edition of the Optivem Journal. I help Engineering Leaders & Senior Software Developers apply TDD in Legacy Code.
Every project starts simple
Most enterprise applications begin with relatively simple requirements.
Creating records.
Updating data.
Calling external systems.
Displaying results.
At this stage, almost any architecture works. The codebase is small, everyone understands it, and adding new features is straightforward.
Then the project grows.
“Just this once”
A business rule needs data that’s already available in the repository.
Instead of passing it back to the use case, the rule is implemented directly in the repository.
It’s only a few lines.
No one wants to create another object or move data around.
The feature ships.
A few weeks later, another feature needs something similar.
The repository already knows about the data, so another business rule is added there.
Still reasonable.
Still working.
Still “just this once.”
Convenience becomes the architecture
As deadlines become tighter, convenience starts winning.
A controller performs a quick permission check because it’s only needed there.
A service calls another service because it avoids duplicating code.
An external API client starts making business decisions because it already has the response.
A repository calculates values because it has all the necessary information.
None of this breaks the application.
But it weakens the boundaries between business logic and infrastructure.
The cost doesn’t appear immediately
This is why architectural decay is so difficult to notice.
The application still works.
Tests still pass.
Deployments continue.
The problem appears months later.
A business rule needs changing.
Now the team isn’t sure where that rule actually lives.
Part of it is in a controller.
Part is inside a repository.
Another piece exists in an API adapter.
There’s similar logic somewhere else too—but no one knows whether it’s safe to change.
A feature that should have taken an hour becomes an afternoon of investigation.
Not because the rule is complicated.
Because the architecture is a Big Ball of Mud.
You’re told: “Why is it taking so long? It’s just a simple requirement.”
The trap is delaying
Most teams recognize when the codebase is becoming harder to change.
They simply postpone doing anything about it.
“We’ll clean it up later.”
“We’ll refactor after this release.”
“We don’t have time right now.”
Meanwhile, every new feature adds another dependency, another shortcut, another place where business logic leaks into infrastructure.
Eventually, everyone agrees the system needs refactoring.
It’s just too difficult to start.
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"We'll refactor later" -> later never came.