DEV Community

Cover image for Easier lazy loading ,Angular 15
Ilyoskhuja
Ilyoskhuja

Posted on

Easier lazy loading ,Angular 15

Angular 15, the latest version of the popular JavaScript framework, was recently released with several new features and improvements. One of the most notable features is the easier lazy loading of modules, which can significantly improve the performance of your Angular applications.

Lazy loading is a technique that allows you to load parts of your application only when they are needed, rather than loading everything up front. This can significantly reduce the initial load time of your application, making it faster and more responsive for users.

In previous versions of Angular, implementing lazy loading was somewhat complex, requiring developers to write custom code and manipulate the routing configuration. However, in Angular 15, lazy loading has become much easier thanks to the introduction of a new “magic comment” syntax.

Here’s an example of how to use the new lazy loading syntax in Angular 15:

// app-routing.module.ts
import { NgModule } from '@angular/core';
import { Routes, RouterModule } from '@angular/router';

const routes: Routes = [
  {
    path: 'lazy',
    loadChildren: () => import('./lazy/lazy.module').then(m => m.LazyModule)
  }
];

@NgModule({
  imports: [RouterModule.forRoot(routes)],
  exports: [RouterModule]
})
export class AppRoutingModule { }

Enter fullscreen mode Exit fullscreen mode

As you can see, the syntax is straightforward and requires minimal setup. You simply specify the path to your lazy-loaded module and the module itself in the loadChildren property.

In conclusion, Angular 15 makes lazy loading much easier and accessible to developers, allowing them to improve the performance of their applications with minimal effort. If you’re already using Angular in your projects, make sure to upgrade to Angular 15 and take advantage of this powerful new feature.

Image of Timescale

🚀 pgai Vectorizer: SQLAlchemy and LiteLLM Make Vector Search Simple

We built pgai Vectorizer to simplify embedding management for AI applications—without needing a separate database or complex infrastructure. Since launch, developers have created over 3,000 vectorizers on Timescale Cloud, with many more self-hosted.

Read full post →

Top comments (0)

A Workflow Copilot. Tailored to You.

Pieces.app image

Our desktop app, with its intelligent copilot, streamlines coding by generating snippets, extracting code from screenshots, and accelerating problem-solving.

Read the docs