Meet Your New BFF: Backend to Frontend without the Duct Tape

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Even with all of the incredible frameworks available today vs. a decade ago (or even two––for devs who have been around as long as I have), it still feels like much of our work as fullstack developers is still repetitive, and held together by duct tape code we shouldn’t be writing.  

This is because we write a lot of duplicate and boilerplate code for everyday things such as simple database CRUD, data validation, authorization, and data-type conversions, but the majority of these tasks haven’t advanced at the pace of modern web architecture.  

In this live coding session we'll turn a front-end React app into a fullstack app with code that is easy to write, follow, and, most importantly - maintain with end-to-end typesafety (say no to GraphQL!), consistent and encapsulated validations, live querying, access control, secured APIs, you get the idea. You’ll come away from this session able to build apps for modern web architecture while still maintaining our code DRY and increase productivity while you’re at it through a fully open source and common [React / Vue etc.] stack.

FAQ

Remalt is an open-source framework created to streamline full-stack development by reducing the redundancy of coding tasks such as data validation and access control across the front-end and back-end. It enables developers to define models, API interactions, and business logic in one place, automatically generating REST APIs and handling server-side operations like paging, sorting, and filtering.

Remalt allows developers to set up data validation rules in a single location, which are then enforced both on the front-end and the back-end. This ensures consistency in validation logic across the application, preventing discrepancies and reducing the chances of invalid data submissions.

A live query in Remalt is a feature that allows real-time synchronization of data across different user sessions. When data changes are made by one user, they are automatically and instantly reflected to all other users viewing the same data, enhancing the collaborative capabilities of the application.

Yes, Remalt supports access control mechanisms which restrict data access based on user authentication and authorization levels. Developers can specify access rules that determine whether a user can perform actions such as viewing, adding, or deleting tasks, ensuring that data is protected and only accessible to permitted users.

Remalt automatically handles server-side operations such as paging, sorting, and filtering. Developers define these features through simple configurations, and Remalt applies them to the data queries, optimizing data retrieval and manipulation for performance and scalability.

Remalt is compatible with most popular databases and can be deployed on any Node.js server or serverless cloud. This flexibility allows developers to integrate Remalt into a variety of existing tech stacks and environments.

Developers can find tutorials, guides, and example projects on the official Remalt website at Remalt.dev. Additionally, they can join the Remalt Discord channel to discuss with and seek support from the community and the framework's developers.

Noam Honig
Noam Honig
7 min
06 Jun, 2023

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Video Summary and Transcription

Noam, the creator of Remalt, explains how this Open Source remote framework can simplify the process of writing a Node.js backend for a React app. He demonstrates using Remalt for full-stack development by adding card capabilities to a front-end to-do app. He shows how Remalt can handle server-side sorting, filtering, and real-time updates. Noam also discusses the importance of data validation and access control, and how Remalt can provide a unified approach to these concerns. He invites viewers to visit the Grimmult website for tutorials and examples.

1. Introduction to Remalt

Short description:

Hi, I'm Noam, a full stack developer and the creator of the Open Source remote framework. Writing a Node.js back end for a crowd-intensive React app is tedious and time-consuming. Let me show you how with Remalt we can fix that.

Hi, I'm Noam. I'm a full stack developer and the creator of the Open Source remote framework. Writing a Node.js back end for a crowd-intensive React app is tedious, repetitive, and time-consuming. Each domain entity requires model types, REST APIs, server-side paging, sorting and filtering, data validation, access control, and eventually an ORM or SQL.

To make things worse, a lot of this code is duplicated on our front-end in the form of front-end validation or front-end access control. Let me show you how with Remalt we can fix that.

2. Using Remalt for Full Stack Development

Short description:

Here we have a front-end To-do app written using React and Next.js. Our application uses the task type to define the task. We've asked Remalt to add full-stack card capabilities based on this task. Let's go ahead and use that in our front-end code. By default, it gets all the tasks for the backend, but we can limit it to get the top two rows and get the second page. And I can say, Order by completed ascending. So I get server-side sorting. And I can filter using completed true or false or undefined to not filter. Now, currently multiple users don't see changes that are done by other users. Let's fix that using Grimal. Another important concern is data validation. Currently the user can add empty tasks and we want to prevent that.

Let me show you how with Remalt we can fix that. Here we have a front-end To-do app written using React and Next.js. In our To-do app, our users can add tasks, complete them, and delete them. In the API side, we've already configured catch-all routes for NextAuth and for Remalt. We've asked Remalt to use Postgres database and to get the user from NextAuth.

Our application uses the task type to define the task. Let's ask Remalt to add full-stack card capabilities based on this task. We'll add an entity decorator, we'll support all card capabilities, and we'll add field decorators. And we'll head over to the entities array and register the task type. As soon as we do that, we get a REST API that returns the tasks that are in the database. Let's go ahead and use that in our front-end code. We'll head over to our todo component and the first thing we'll do is define that task repository. And then we'll use that repository to load the tasks, to insert new tasks, to save changes to existing tasks, and to delete tasks. And that's it. That's all we needed to do to create a full stack app. I can add tasks, I can check tasks, I can delete tasks, and all our standard REST API operations, Get, Post, Put, and Delete, all using standard REST API.

Let's zoom in on define method. By default, it gets all the tasks for the backend, but we can limit it to get the top two rows and get the second page. And we get server-side paging. And I can say, Order by completed ascending. So I get server-side sorting. And I can filter using completed true or false or undefined to not filter. And all of that uses standard REST API So just by defining these four decorators before, we were able to get full stack a query language that is fully typed end-to-end from the frontend to the backend.

Now, currently multiple users don't see changes that are done by other users. Let's fix that using Grimal. To do that we'll replace find with live query, then we subscribe, and subscribe gets an info object that we can use to apply changes to our task. We'll also return the result so it will unsubscribe when the component unmounts. Now, as soon as we do that and refresh both our browsers, any changes that are done by one user automatically reflect to all the other users. Another important concern is data validation. Currently the user can add empty tasks and we want to prevent that.