Why complexity isn’t always the problem
Complexity is often seen as something to eliminate.
But not all complexity is bad.
Some of it is necessary.
Some of it shouldn’t exist.
The confusion
Most systems don’t fail because they are complex.
They fail because the wrong complexity accumulates.
The real issue
Over time, systems mix two things:
what is required
what just happened to be added
And the difference disappears.
What actually matters
Good systems don’t avoid complexity.
They make it visible and intentional.
A better way to think about it
Instead of asking:
“how do we simplify?”
Ask:
“which complexity belongs here?”
Full article → https://palks-studio.com/en/useful-vs-accidental-complexity
Top comments (5)
The part about accidental complexity hiding useful complexity really stands out. Once a system reaches that point, it’s not just harder to change, it becomes harder to reason about. And that’s where most teams get stuck, because every change starts to feel risky. In my experience, the real challenge isn’t adding or removing complexity, but continuously making sure the existing complexity still maps to an actual requirement. Once that connection fades, the system slowly starts drifting away from its original purpose.
I agree and that’s exactly why initial foundations matter, but not in the usual “perfect architecture” sense.
What really helps is starting with a structure where each piece of complexity is clearly tied to a concrete requirement.
Because once that link is lost, you don’t just get technical debt, you get a system that still “works”, but no one really knows why it exists in that shape anymore.
At that point, every change feels risky not because the system is complex, but because its complexity is no longer meaningful.
Yeah, that’s a really good way to frame it.
Once complexity stops being tied to a requirement, it basically turns into behavior you can’t explain anymore. The system still produces outcomes, but you lose visibility into why those outcomes happen.
This shows up a lot in systems where execution is heavily abstracted. Everything looks consistent at the surface, but underneath the same input can take completely different paths depending on hidden conditions.
At that point, you’re not debugging logic anymore, you’re reverse engineering behavior.
Exactly. And that's when the system starts to own you, rather than the other way around.
The abstraction was supposed to simplify, but it ends up being the thing you have to decode first before you can touch anything else.
Some comments may only be visible to logged-in visitors. Sign in to view all comments.