How I Approach Building Features as a Backend Developer

Every day, I try to build something new. Sometimes it’s a small feature that takes an hour. Sometimes it stretches across days. And sometimes… it just doesn’t work out the way I expected.

That’s part of the process.

Over time, I’ve developed my own way of implementing features—especially since I lean more toward backend development. My thinking usually starts not with the UI, but with data.

Step 1: Think About Data First

Whenever I get a feature idea, the first thing I ask myself is:

How can I store this efficiently?

I try to design the system in a way that gives me flexibility. I want to store enough data so that I can manipulate it later in multiple ways without rewriting everything.

Once I’m comfortable with the backend structure, I shift my focus to the frontend—how the feature will actually be used and experienced.

Step 2: Always Plan Multiple Implementations

One rule I follow strictly:

Always design at least two ways to implement a feature.

Why?

Because frontend requirements change constantly. What works today might need to evolve tomorrow. If I already have alternative structures in mind, adapting becomes much easier.

Step 3: Example – Building a Chat Feature

Let’s take a real example: building a chat system.

At its simplest level, a chat involves:

A sender
A receiver

In basic cases:

One sender → one receiver

But things get more interesting when we build something like a live chat or threaded conversation:

Multiple senders
Multiple receivers
Replies and nested replies

This is where complexity kicks in.

Step 4: Modeling the System (Without Overcomplicating DSA)

I don’t go deep into complex Data Structures & Algorithms thinking. Instead, I rely on simple intuition.

For a threaded chat, I think of it like a tree structure:

A message is a node
Replies are child nodes
Conversations branch out naturally

That’s enough to guide my design.

Step 5: Designing the Backend Models

For this chat system, I usually create these core models:

Chat (Primary Entity)
Message
Reply
Commentor (User)

Each entity has clear relationships:

A Chat contains multiple messages
A Message is linked to a commentor
A Reply is linked to a message and a commentor
Replies can also link to other replies (forming the tree)

Step 6: Stick to CRUD (Even If It Feels Extra)

Even if I don’t need all operations immediately, I still implement full CRUD:

Create
Read
Update
Delete

Why?

Because it gives me flexibility later. It also helps me test relationships between entities more easily.

Step 7: Handling Edge Cases (Like Deleting Messages)

One interesting problem is handling deletion.

Let’s say a user wants to delete a message:

If the message has no replies → safe to delete
If it has replies → deleting it might break the conversation

So I use two approaches:

Replace text with something like "comment removed"
Or allow deletion only when no replies exist

This keeps the structure intact while respecting user actions.

Final Thoughts

My approach isn’t about perfection—it’s about adaptability.

Start with data
Think ahead
Design flexible systems
Keep things simple

You don’t always need complex algorithms. Sometimes, a simple “tree-like thinking” is enough to build powerful features.

At the end of the day, building features is less about getting it right the first time—and more about making sure you can evolve it later.

How I Approach Building Features as a Backend Developer