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A developer test assignment used as basis for candidate evaluation.

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Moises - Front-end Growth Test

Screen

Requirements

  • The project is bootstraped using Next.js.
  • Implement this design using React and Typescript.

Rules

  • You’ll notice the CMS payload contains the home page data in English and Portuguese, meaning the Front-end should be multi-lang, it should also be prepared to easily scale to new languages or new pages if necessary.
  • All the images needed are available in the payload. (icons are in figma)
  • The page should be responsive, follow SEO best practices and be carefully crafted.
  • The intention of this test is to evaluate your ability to transpose a layout to code, we discourage copying/pasting code from moises.ai. Feel free to code plain CSS or use any framework you feel familiar with.
  • at the end the website should be statically built, no requests should be made to the CMS mock server during run time.

What we will evaluate

  • React good practices and performance
  • Pixel perfect
  • Code structure and reusablity
  • Semantics

Getting Started

Clone this repository to get started and run the API server and development server:

npm run dev

/global?locale=en|pt

The global route returns an object filtered by locale param to generate common components of the layout: header, footer, and social links.

/pages?locale=en|pt

The pages route returns an array of pages filtered by locale param, meaning the front-end should seamlessly render whichever pages are returned from the API.

Bonus Points

  • The header and menu should be the same HTML for all breakpoints.
  • Good accessibility.

Submission

Upon completing the test, publish your project to a URL (Vercel, Netlify, etc.) and send the your repo link to the informed email instead of submitting a pull-request.


Take your time, this is not a speed test. Make sure you understand all the requirements. If you have any doubts or questions, we are available to clarify it for you.

Good luck! 🚀

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A developer test assignment used as basis for candidate evaluation.

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