Model development of mobile applications React Native + AWS Amplify

1

Zeplin

Before we move on to the stages of "Model Development", let's look at the traditional method of application development - "Feature Development" is a method in which a task is set with a description of the functionality and with a link to Zepllin and, at best, links to prototype screens in the Marvel App. When a programmer receives a task to develop a feature, he divides it into three parts:.

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2

Storybook

Due to the fact that we make the application according to the Storybook rules, our components are easily portable to React Native for Web. Because of this, we get a UI-kit not only for mobile development, but we can also use it on the site, getting the development process twice as fast in layout, since we do not need to layout components for the site separately from the mobile platform.

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3

React Native

Model development of mobile applications React Native and sites on React Native Web.

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4

Marvel

Before we move on to the stages of "Model Development", let's look at the traditional method of application development - "Feature Development" is a method in which a task is set with a description of the functionality and with a link to Zepllin and, at best, links to prototype screens in the Marvel App. When a programmer receives a task to develop a feature, he divides it into three parts:.

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5

GraphQL

Compilation on Screens - The screen model is the sum of the screen models of the components on the screen. Screens are created, they are also artboards in Sketch, where we combine components and position them relative to each other. At this stage, navigation is connected. As a result, we have a ready-made prototype that can be agreed with the client. Thanks to the fact that the components are typed by TypeScript, we can lay down the component models on the screen and set the task to deploy the backend using the AWS Amplify framework . Initially, GraphQL was designed to make frontend work easier and at the same time became the serverless language of AWS architects, where typed models became the building blocks.

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