Exhibiting Proficiency in a Wide Range of Development Technologies

Our forte in development is quite comprehensive. Hudasoft houses a team that is proficient in almost all dev tech and has experience in developing solutions that solve real-world business problems.

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      Technologies we
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      Hudasoft leverages Swift, Apple's programming language, to develop high-performance iOS applications. Swift's modern syntax and powerful features enable Hudasoft's developers to create robust, user-friendly apps that seamlessly integrate with Apple's ecosystem.


      With Flutter, Hudasoft can build cross-platform mobile applications that run smoothly on both iOS and Android devices. Flutter's hot reload feature accelerates the development process, allowing Hudasoft's team to iterate quickly and deliver polished apps with a native-like experience.


      While Swift is the primary language for iOS development, Hudasoft may still maintain and update legacy iOS applications written in Objective-C. By proficiently using Objective-C, Hudasoft ensures the stability and compatibility of these older apps while incorporating new features and improvements.


      For Android app development, Hudasoft relies on Kotlin, Google's modern programming language for building Android applications. Kotlin's concise syntax and advanced features enhance productivity, enabling Hudasoft's developers to create high-quality Android apps efficiently.


      Similar to Objective-C for iOS, Hudasoft may work with Java for maintaining and updating legacy Android applications. Java remains essential for ensuring the functionality and performance of these older apps while Hudasoft implements enhancements and bug fixes.

      React Native

      Hudasoft utilizes React Native to develop cross-platform mobile applications using JavaScript and React. By leveraging React Native's component-based architecture, Hudasoft delivers feature-rich mobile apps with a native look and feel, optimizing development time and cost- effectiveness.


      Hudasoft employs Python for various purposes such as backend development, scripting, and data analysis. Python's simplicity, versatility, and extensive libraries empower Hudasoft's developers to create scalable backend systems, automate tasks, and derive valuable insights from data, thereby enhancing the overall functionality and performance of the software products delivered to clients.

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      Our Latest Blog Posts

      The MVP Development Guide for Startups

      An MVP, or Minimum Viable Product, is a development approach that focuses on creating a product with just enough features to gather valuable insights from early users. It’s the most basic usable version that allows you to:

      Comparing Node.js and React: A Guide for Development Companies

      With JavaScript being one of the most popular languages out there, there are so many JavaScript frameworks to choose from. Node.js and React.js are two of the most popular options out there, but developers sometimes struggle to know which one is better. The main difference is that Node.js is a back-end framework, and React.js is used for developing user interfaces. Both frameworks are quite popular and have their advantages and disadvantages. If you want to find out which one you should use for your next project, read on. Below, we share the key features of Node.js and React.js and their pros and cons. After reading this article, you will have a clear picture of what technology suits your project’s needs. Let’s begin..

      Adopting Generative AI: A Strategic Guide

      The remarkable rise of ChatGPT and other generative AI tools such as Bard, Claude, and Midjourney has captivated business leaders globally, marking a significant milestone in AI technology. These innovations are not just a passing trend; they represent a fundamental shift in the tech landscape.   Organizations that are keen to stay ahead are rapidly seeking to understand the business implications and potential risks of generative AI, as well as formulating strategies for its adoption.   The projections for the generative AI market are staggering. Polaris Market Research forecasts that by 2032, the market could exceed $200 billion. Similarly, Grand View Research predicts a global market value of $109.37 billion by 2030, with a compound annual growth rate (CAGR) of 35.6% from 2023 to 2030. The factors fueling this growth include the user-friendly nature of generative AI, advancements in machine learning, reduced computing costs, and the vast amounts of available data.   This shift is prompting business leaders to deeply consider how generative AI will affect their companies and industries. They are thinking strategically about how to harness the technology’s potential while addressing its challenges.

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