How It All Started
For years, I fell into the classic trap of over-engineering my backend APIs. Every project began with ambition: perfect abstractions, layered architecture, and all the design patterns I had recently read about. It looked stunning in theory, but in practice — the complexity became a nightmare.
It wasn’t that these patterns were bad. It’s just that I didn’t need them all at once. I learned this the hard way over multiple projects where delivery slowed to a crawl because I was tweaking folder structures or refactoring every week.
The Moment of Realization
The turning point came while building an internal analytics service. I had set up a multi-layered architecture with Repository, Service, DTOs, and Mappers — the full enterprise setup for a tiny API used by only three people. Every change, however small, meant updating multiple files. The velocity was terrible.
I realized I was designing for theoretical scale rather than actual needs.
At that moment, I decided to simplify. I rewrote the service with a single well-structured module, kept business logic close to the database access layer, and deployed it within two days. It had taken me three weeks to build the previous version.
What I Changed
- Start with simplicity: I now begin with a straightforward design and only add abstractions when repeated patterns emerge.
- Focus on clarity, not ceremony: A small team doesn’t need a full DDD setup. Clean, well-named functions can be enough.
- Add tests early: Solid tests give me the freedom to refactor later if complexity genuinely grows.
- Design for today, leave hooks for tomorrow: I document extension points but don’t implement them prematurely.
Trade-offs Worth Acknowledging
There’s a balance between being pragmatic and being reckless. Simplicity isn’t a license for spaghetti code. I still care about separation of concerns—but I achieve it through disciplined coding, not rigid frameworks.
The truth is, most ‘scalability issues’ I worried about never arrived. The ones that did were far easier to solve in a working, simple system than in a fancy, half-finished architecture.
Final Thoughts
Over-engineering is a symptom of insecurity: we try to prove sophistication instead of delivering value. My focus shifted once I realized success wasn’t about elegance—it was about momentum. If a simpler design helps me iterate faster, learn quicker, and ship smarter, that’s a win worth taking every time.