Our Technology Stack

  • We work with the latest technologies to build Mobile and Web Apps that ensure stability and performance. We create bespoke applications that are reliable and built for scale.

Code + Creativity = Code Worx!

"Design is not just what it looks like. Design is how it works." – Steve Jobs

At Code Worx, we are always learning and our knowledge of Design does not end with HTML5, CSS3 and JavaScript. We are curious, inspired and we do everything Digital and our passion for Design enabled us to create some of the best applications on the internet.

Every line of code, is documented and secured in a private Git repository and we rely on Collaboration to ensure all our applications are perfect.

We have Full Stack, Mean Stack and DevOps Engineers that will ensure your project will outrank all competition.

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Programming Languages We Love

The following Programming Languages are what we use to create amazing web and mobile applications for our clients. Depending on the project, we will discuss the best platform and framework with our clients to create bespoke applications tailored to the clients needs.

  • Joomla! is an award-winning Content Management System (CMS), which enables us to build Awesome Websites and powerful online applications with speed and ease.

  • WordPress is the easiest to use Content Management System on the internet. We build easy-to-use online stores and small business websites with WordPress.

  • Magento is the leading Open Source E-Commerce platform with full Content Management System features included allowing you to manage complex shopping carts.

  • Laravel is a robust PHP framework that allow us to build feature rich applications that can easily scale and is backed by a community of supporters with rich features.

  • CodeIgniter is a powerful PHP (H-MVC) framework with a small footprint allowing us to build powerful web applications that are modular and fully scalable.

  • Symfony is the standard foundation on which the very best PHP applications are built. Symfony is completely re-usable and backed by a large community.

  • jQuery is a cross-platform JavaScript library designed to simplify the Client-Side (Front-end) scripting of HTML. It is also the most used HTML Library today.

  • Bootstrap is a Client-Side (Front-end) framework rich in features, that allow us to build fully responsive websites that work on any device and browser.

  • AngularJS is our preferred Client-Side (Front-end) framework which allow us to build powerful, dynamic web applications for added customer experience.

  • Express.js is a Node.js web application server framework, designed for building single-page, multi-page, and hybrid web applications that are packed with features.

  • Node.js is an open-source, cross-platform JavaScript runtime environment for developing a diverse variety of complex developer tools and web applications.

  • Ruby on Rails is a web framework based on Model-View-Controller (MVC) architecture. It is very popular and is generally the choice of most startups in Silicon Valley.

  • Python is a clear and powerful object-oriented programming language, widely used high-level, general-purpose, interpreted, dynamic programming language.

  • Swift is a powerful and intuitive programming language for macOS, iOS, watchOS and tvOS. Swift allows us to create bespoke, native iOS applications.

  • Java is a general-purpose computer programming language that is concurrent, class-based, object-oriented, and we use it to create bespoke, Native Android Applications.

  • MySQL is the world's most popular open source database. With its proven performance, reliability and ease-of-use, MySQL has become the leading database choice for web-based applications.

  • PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation.

  • MongoDB is an open source database that uses a document-oriented data model. MongoDB is our preferred database for Big Data and Business Analytics for Machine Learning.

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