The Interview Question That Made Me Rethink My Architecture: Understanding Domain‑Driven Design
Source: Dev.to
The Interview Question
“Can you explain how you’ve used Domain‑Driven Design in your past projects?”
That one simple question stopped me cold.
It was my second interview — and also my last one for that position. After the first round, the interviewer had mentioned that a technical test would be required. So, when I got the invitation to the second interview, I spent almost a week preparing — mostly focusing on LINQ and Entity Framework in .NET Core.
My programming journey started with Visual Basic 6, then moved to VB.NET, and later to C# and Python. In my C# years, I mostly worked with ADO.NET, writing raw SQL queries and stored procedures. That’s why I wasn’t familiar with these newer methodologies — and I knew that was a weakness I had to fix.
I spent a week catching up. It only took a couple of days to get the big picture (thanks to my previous experience), and the rest of the week went into polishing and preparing for the test.
What I Thought DDD Was
During the interview, I explained my architecture like this:
- Repositories communicated with the database through Entity Framework
- Services used these repositories to handle business logic
- Controllers acted as endpoints, exchanging data with frontend or mobile apps
After I finished, the interviewer smiled and said:
“Tim, you’re smart, honestly.”
When the interview ended, I asked an AI what that architecture style was called. The answer came back: Domain‑Driven Design. That moment surprised me — I had been applying some parts of DDD all along, without even realizing it.
What I Realized Afterward
At first, I thought DDD was just about extra layers: entities, repositories, services… like a neatly organized folder structure. But I later realized DDD is not about structure — it’s about meaning. It’s about how the structure represents the real business domain.
The key idea is the ubiquitous language — code that mirrors how the business actually talks about its work.
Instead of thinking:
“This function updates a table.”
DDD makes you think:
“This function completes an order.”
The difference sounds small, but it completely changes how you design, read, and discuss your code. The interviewer hadn’t been testing my knowledge of frameworks — he’d been testing whether I could connect technical implementation with business intent. And that is what Domain‑Driven Design is all about.
What DDD Really Means (in Simple Terms)
- Domain – The real‑world problem space you’re modeling (orders, payments, customers…).
- Ubiquitous Language – A shared language between developers and domain experts.
- Entities – Objects that have identity and lifecycle (like
Order,Customer). - Value Objects – Define characteristics without identity (like
Money,Address). - Aggregates – Groups of entities that change together as one unit.
- Repositories – Abstract persistence, letting you save or load aggregates without leaking database logic.
Applying That Insight
Before that interview, my OrderService looked like this:
public void CompleteOrder(int orderId)
{
var order = _repository.GetById(orderId);
order.Status = "Completed";
_repository.Update(order);
}
It works — but it’s mainly data‑driven. After learning about the domain perspective, I rewrote it to express intent, not CRUD actions:
public void CompleteOrder(Order order)
{
order.MarkAsCompleted();
_repository.Save(order);
}
Now, the focus is on what the business is doing — not how the database changes. That small shift made my architecture feel cleaner, more readable, and more meaningful.
Key Takeaways
- DDD isn’t about fancy patterns or layers — it’s about representing the business domain in code.
- Even if you’re not applying full DDD, thinking in domain terms makes your code clearer and more maintainable.
- The best architecture doesn’t just run — it communicates.
Closing Thoughts
That interview taught me something I didn’t expect — sometimes, you already understand good architectural principles; you just haven’t learned the name for them yet. Understanding comes in layers — just like good architecture.