Why it happens
I’ve been thinking a lot about over-engineering lately. You know that moment when you’re building something and you start adding features, abstractions, and layers that you don’t actually need? It happens to all of us, and I’m no exception.
I used to think that the more complex a solution was, the better it must be. More layers, more patterns, more systems — surely that meant I was building something robust and professional. But over time, I’ve realized that complexity often just means more things that can break, more to maintain, and more mental overhead.
The appeal of complexity
The thing is, simple solutions are harder to create. It’s easy to add another layer of abstraction. It’s easy to introduce a new framework because it promises to solve all your problems. But it’s hard to step back and ask whether you actually need it.
Will this make my life easier, or will it just add another thing to learn and maintain?
I think we often reach for complex solutions because they feel more impressive. We want to show that we understand advanced patterns and systems, even when a simple approach would work just fine. Sometimes it feels safer to build something “serious” than to trust a smaller, more direct solution.
The cost of unnecessary abstraction
I’ve seen projects where the setup process takes longer than the actual work. Where you need to understand three different systems just to make a simple change. Where the “simple” task of adding something requires touching multiple files across layers of abstraction.
That kind of complexity doesn’t just slow you down — it increases the chance of mistakes, makes onboarding harder, and turns small changes into large decisions.
When complexity is necessary
That’s not to say complexity is always bad. Sometimes you genuinely need it. If the problem is large, the requirements are complicated, or the system has real constraints, a more sophisticated solution can be the right call.
The problem is not complexity itself. The problem is complexity that is added without clear necessity.
A better question to ask
I’m trying to get better at asking myself a few simple questions:
- What’s the simplest thing that could possibly work?
- Can I solve this with less?
- Will this abstraction actually help me, or will it just make things more complicated?
Those questions are harder than they sound, but they usually lead to better decisions.
What I value now
The best work I’ve done has always been the simplest. The projects I’m most proud of are the ones where someone else can look at them and immediately understand what’s happening.
Not because I’m showing off my knowledge of complex systems, but because the solution is clear and straightforward.
Knowing when to stop
Maybe that’s the real skill — knowing when to stop. Knowing when your solution is good enough. Knowing that sometimes the best solution is the one you don’t build.
Good engineering is not about adding everything you can imagine. It’s about choosing the right level of complexity for the problem in front of you.