Object-Oriented Programming done wrong

Object-Oriented Programming done wrong

Common OOP mistakes I see every day


Object-Oriented Programming done wrong: mistakes I see every day

Object-Oriented Programming isn’t bad. The problem is how we use it.

After years working in backend, reviewing code from other teams, and diving into systems that have been in production for years, I’ve seen the same mistakes over and over.

And they almost always come from understanding OOP as theory, not as design.

Let’s talk plainly.

Mistake #1: Classes that do everything

This is the classic one.

Giant classes that:

  • validate
  • call the database
  • process logic
  • send emails
  • write logs
  • do everything but make coffee

All in one class.

This breaks the most basic idea of OOP:

one class = one clear responsibility

When a class does everything:

  • it’s hard to test
  • it’s scary to touch
  • any change breaks something

If a class scares you to open… you know something’s wrong.

Mistake #2: Thinking more classes = better design

Some people discover Clean Architecture and suddenly the project has:

  • 200 interfaces
  • 300 folders
  • super long names
  • zero clarity

OOP is not about creating classes for the sake of creating classes.

Good design:

  • is understood quickly
  • has few pieces
  • each piece makes sense

If you need a map to understand your own project… you’re overengineering.

Mistake #3: Inheritance for everything

Inheritance is one of the most abused concepts.

Typical example:

  • BaseService
  • BaseServiceV2
  • AdvancedBaseService
  • UltraAdvancedBaseService

This creates:

  • fragile hierarchies
  • invisible dependencies
  • hard-to-track bugs

Nowadays, composition > inheritance in most cases.

Key question:

Does this really is a type of that, or does it just use that?

Mistake #4: Objects without behavior (data only)

This is very common in backend.

Classes that only have:

  • properties
  • getters
  • setters

And all the logic lives in giant services.

That’s not OOP. That’s procedural programming in disguise.

An object should:

  • know its rules
  • protect its state
  • validate its own consistency

If your objects don’t do anything… something’s wrong.

Mistake #5: Coupling everything to frameworks

This one hurts.

Classes that depend directly on:

  • Entity Framework
  • external libraries
  • infrastructure

When you mix:

  • domain
  • infrastructure
  • framework

you lose:

  • testability
  • flexibility
  • design control

Well-applied OOP protects your domain, it doesn’t expose it.

The problem isn’t OOP, it’s how we think

Most of these mistakes don’t come from bad intentions. They come from:

  • copying examples
  • following tutorials without context
  • applying patterns without understanding the problem

OOP isn’t about memorizing concepts. It’s about making conscious decisions.

A simple rule that helps a lot

Before creating a class, ask yourself:

  • what responsibility does it have?
  • what should it NOT do?
  • who uses it?
  • what would happen if it changes tomorrow?

If you can’t answer that… wait.

Wrapping up…

Well-applied OOP:

  • makes code clearer
  • makes changes easier
  • reduces bugs
  • makes the team happy

Poorly applied:

  • creates monsters
  • slows down development
  • burns out engineers

In upcoming blogs I’ll dive into:

  • real C# examples
  • how to design useful objects
  • when NOT to use OOP

This is just the beginning.

Let’s keep going!