How NestJS Changed the Way I Build Backends
Until then, I mostly used Express.js. It’s flexible and fast, but as projects grow, the code usually turns into a pile of routes, middlewares, and functions tightly coupled together. Scaling that kind of codebase is painful.
During that task, I discovered NestJS — a framework built on top of Express. On the surface, it might look like a wrapper. But once I built my community-backend project with it, I realized NestJS is really about architecture.
Express.js vs NestJS: A Quick Example
Express.js (typical route)
// routes/user.js
const express = require("express");
const router = express.Router();
const db = require("../db");
router.post("/users", async (req, res) => {
const { name, email } = req.body;
if (!email) return res.status(400).send("Email is required");
const user = await db.user.create({ name, email });
res.json(user);
});
module.exports = router;
Here, validation, DB logic, and request handling all live in one place. Works fine for small apps — but becomes unmanageable in large systems.
NestJS (modular structure)
// user.controller.ts
@Controller('users')
export class UserController {
constructor(private readonly userService: UserService) {}
@Post()
createUser(@Body() dto: CreateUserDto) {
return this.userService.create(dto);
}
}
// user.service.ts
@Injectable()
export class UserService {
constructor(private readonly prisma: PrismaService) {}
async create(dto: CreateUserDto) {
return this.prisma.user.create({ data: dto });
}
}
// create-user.dto.ts
export class CreateUserDto {
@IsString()
name: string;
@IsEmail()
email: string;
}
Here, the controller is clean, the service contains the business logic, and the DTO handles validation automatically. This separation of concerns is what makes NestJS shine.
Technical Advantages I Saw in NestJS
-
Modules as Building Blocks
Each feature (auth, user, posts) lives in its own module. That makes the codebase predictable and scalable. -
Dependency Injection (DI)
Instead of manually wiring dependencies, NestJS injects them. For example,UserService
automatically getsPrismaService
. This makes testing much easier. -
DTOs + Validation Pipes
Usingclass-validator
andclass-transformer
, NestJS enforces type safety and validation at the boundary. No more manualif (!req.body.email)
checks. -
Guards, Interceptors, Filters
-
Guards → handle authentication & authorization
-
Interceptors → transform responses, add logging
-
Filters → handle exceptions consistently
These make cross-cutting concerns first-class citizens.
-
-
Testability
Since each service is isolated, writing unit tests becomes straightforward. You can mock dependencies easily.
Lessons from My Community Backend
In my community-backend repo, these ideas play out:
-
The Auth Module uses guards and a JWT strategy for route protection.
-
The User Module keeps controller logic minimal -- all heavy lifting is in services.
-
Validation is handled by DTOs, not by scattered
if
statements. -
Errors are caught by global exception filters, so the API returns consistent error responses.
The result? A backend that feels structured, testable, and scalable.
Closing Thoughts
I didn’t land that interview, but learning NestJS was the real win. It showed me that backend frameworks can be more than “just wrappers.” They can enforce architecture, modularity, and discipline — things that really matter in large systems.
If you’ve been working with Express.js and struggling with messy, tightly coupled code, NestJS is worth a try. It changed how I write backends — and it might change yours too.
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