Why Hiring a Full Stack Developer To Build an MVP Seems A Good Idea to Go with

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Why Hiring a Full Stack Developer To Build an MVP Seems A Good Idea to Go with MVP is a development technique in which a new product, website or application is developed considering sufficient features to fulfill the need of early adopters. The final product is only designed and developed considering the feedback of initial users. If you are planning to build a product, but not sure the idea is viable or not, then going for MVP is a sound option to invest your money and authenticate your idea. MVP will assist you in achieving the validation of your idea. You can build an MVP if you possess technical knowledge. On the contrary, if you are non-technical, then yes you require full stack developer to make your dream project come true.

What is Full-Stack Development? Both the aspects of an app development-frontend and backend are covered in full stack development. From conception to deployment, it includes all the aspects of the development. In three stages the full stack development can be categorized.

Front-end It deals with the client-side development of the app where User Interface is created. The highly responsive and functional app is required for front-end development. The thorough knowledge of JavaScript, CSS, HTML and Bootstrap is needed. The knowledge of React, Angular and Vue.js is required for the JavaScript frameworks. The bootstrap will look after the designing of the content along with the layout.

Backend The backend languages are required to develop the logic for the web application. In this server-side language or framework, the knowledge is needed of Node.js along with Express.js, Ruby with Ruby on Rails, Java with Spring MVC or Python with Django and much more.

Database The database languages are divided into two groups- Relational and Non-relational. The important database languages are MySQL, MongoDB and PostgreSQL. The Relational languages are based on tables and rows for the data storage and in non-relational stores the data in the JSON format. MySQL and PostgreSQL come in the relational category while MongoDB is used as the non-relational database.


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