The moment someone learns about SOLID principles, they suddenly feel compelled to create an interface for anything that breathes!
IUserService
IUserRepository
IUserManager
IUserProvider
IUserFactory
IUserStrategy
IUserWhatever
And in the end? Code that once took a minute to read now requires a complex map to navigate.
Yes, SOLID principles are incredibly important. But the problem is that many people treat them like unbreakable laws of physics, when in reality, they are guidelines, not a religion.
The Open/Closed Principle Misconception
Take the Open/Closed Principle, for example. Many interpret it as: “Thou shalt not modify any class.”
So, you see developers implementing layers of inheritance, abstraction, and polymorphism for a feature that might come in two years. And in the end? No one understands the code, and the feature never even materialized!
graph TD
A[Developer learns OCP] --> B{Believes: "Never modify existing code!"};
B --> C[Creates excessive abstractions];
C --> D[Adds unnecessary inheritance];
D --> E[Code becomes complex and hard to read];
E --> F{Future feature never arrives};
F --> G[Maintenance nightmare];
The Dependency Inversion Overkill
Or consider Dependency Inversion. You find projects with an interface for a single class, with only one implementation, and it’s impossible for there to ever be another. But “we must have an interface,” they say, “because we’re doing Clean Code!”
In reality, all they’ve done is:
- Added more layers.
- Created more files.
- Made navigation harder.
All without any real benefit.
The worst thing about over-engineering is that it gives a false sense of “this code is from another planet.” Yet, truly beautiful code is often characterized by its simplicity.
Naima’s Note: In the fast-paced world of AI-driven development, agility and clarity are paramount. Over-engineering based on speculative future requirements can cripple a project. An AI model might evolve rapidly, and the surrounding code needs to adapt quickly. If your codebase is a labyrinth of unnecessary abstractions, every change becomes a monumental task. Our philosophy at 10xdev.blog is to build for today’s problems with an eye towards tomorrow, but not to sacrifice current clarity for hypothetical future flexibility.
The Cost of Abstraction
A truly senior developer often chooses the simpler solution, not necessarily the most elegant-looking one. This is because every abstraction you add comes with a cost:
- Cost of Understanding: It takes more mental effort to grasp the system.
- Cost of Debugging: Tracing execution flow becomes harder.
- Cost of Onboarding: New team members take longer to become productive.
- Cost of Maintenance: Changes become more complex and error-prone.
There’s a crucial difference between designing for change and designing for imaginary problems.
Designing for change means building a system that is flexible enough to adapt to known potential changes or likely future requirements, often through well-defined interfaces at critical boundaries.
Designing for imaginary problems means adding complexity for “what if” scenarios that are unlikely to materialize, or for which the cost of early abstraction far outweighs the benefit.
This balance is one of the hardest things any developer learns with experience. It’s about knowing when to apply a principle and when to prioritize simplicity and pragmatism.
Naima’s Final Word: Don’t let principles become dogma. Use them as tools in your engineering toolkit. The goal is always to create maintainable, understandable, and effective software, not to blindly follow rules. A 10x developer knows that sometimes, the “cleanest” code is the simplest code that solves the problem at hand, without unnecessary layers of abstraction.