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App Dev — Roadmap to Development

By Anubhav Agarwal

“Tech will transform from something we actively use to a more seamless integrated experience that is ‘on’ all the time.”- Daniel Bæk. To keep up with this advancement in life and be on track with technology, we should have some idea about app and it’s development, as apps are the most basic thing that we directly access in any electronic devices like mobile phones, tablets amongst many others. So let’s dive right into this very interesting field through our technical blog: App Dev — Roadmap to Development!

What is App Development?

Basically, mobile app development is the process by which an app is developed for mobile devices, such as personal digital assistants, enterprise digital assistants or mobile phones. These software applications are designed to run on mobile devices, such as a smartphone or tablet computer.

App Developer, also known as a software developer or software architect is responsible for developing and modifying source code for software applications. These applications are aimed at aiding customers with computer tasks or programs.

Future of App Development:

People use mobile devices for various purposes, like gaming, entertainment, etc. And expect a high level of features such as navigation, speech recognition, and natural language processing. Artificial Intelligence, in the future for all the apps, has almost everything.

In the future, most AI apps will be developed using technologies such as predictive analytics and machine learning algorithms. This will allow mobile app developers to deliver a more personalized experience in their applications, and apps will be able to perform unbelievable functions, and therefore it is no doubt that in the near future, the applications of app development are going to bloom many folds.

At present as well, many apps use AI algorithms in them, some of the popular examples are Instagram and YouTube which identifies a user’s preference & choice and suggest videos/ posts accordingly, which is only possible because of AI algorithms present in them.

Starting App Development:

It is obvious that the primary requirements for one to learn to build an app are to know how to code, to know which programming language one must know and for them to decide which platform they would want their apps to be run on (the two major options being Android and iOS).

The decision of choosing the platform on which the app shall run matters a lot because where the app is to be run shall determine the programming language and the environment the programmer will have to deal with for preparing the App.

There are plenty of resources and videos available online and it’s confusing for developers where to start learning all the concepts. Initially, as a beginner, if you get overwhelmed with so many concepts then don’t be afraid and stop learning. Have patience, explore, and stay committed to it.

Android App Development:

The core language used for Android App Development has been Java for many years, though with increasing technology and modernisation in android app development Kotlinhas been another preferred language for android app development and it has been growing exponentially in terms of popularity.

Another language as a substitute to Java and Kotlin is C++ which is preferred by many for coding Android apps.

iOS App Development:

It is a known matter of fact that the products by the tech company Apple (such as iPad, iPhone, etc.) are the ones that use the operating system known as iOS.

The most important languages to focus upon for iOS App development are Swift and Objective–C. The primary code of Apple products is written in Objective — C. Python is yet another very important language for the App Development in iOS, as it is a common tool for building libraries, modules and storing data for the iOS platform.

Native And Cross-Platform Apps:

Native apps are developed exclusively for a specific platform. These apps are developed in a language compatible only with the particular platform. Apple, for instance, prefers Objective C and Swift for iOS while Google favours Java for Android. A native app developed for Android will not function on iOS and similarly, a native app developed for iOS will not run in an Android-based system.

Cross-platform apps are apps that solve the above-mentioned problem of apps being made only for a particular platform, therefore they are compatible with multiple platforms. These apps are developed in Flutter or can even be developed using HTML & CSS since these standard web technologies are platform-independent.

React Native Apps:

React Native is a famous mobile app framework based on JavaScript and lets its users build natively rendered mobile apps for both Android and iOS. The speciality of using it is that it lets its users create applications for various different platforms by the use of the same code. This translates to huge time and resource savings.

Another noticeable fact about the React Native framework is that it enables one to communicate with both realms, the JavaScript-based threads and existent, native app threads, hereby enabling bidirectional communication possible. This implies, if you already have a native iOS or Android app, you can still use its components or shift to React Native development.

Full Stack Developer:

A person who is a Full Stack Developer works with the Back End — or server-side — of the application as well as the Front End, or client-side. Full Stack Developers have to have some skills in a wide variety, from databases to graphic design and UI/UX management in order to do their job well.

AI and ML in App Development:

The use of Artificial Intelligence and Machine Learning in mobile apps for security purposes is increasing at an exponential rate. Features like biometric authentication, face or voice recognition are being utilised at their best for security in every aspect and by almost everyone.

Incorporation of Artificial Intelligence and Machine Learning as a part of security systems for keeping a check on irregularities in user behaviour, alarm triggering situations, patterns causing failures and detection of any kind of anomalies of concern.

With the potential, scope and vastness of implementation that Artificial Intelligence and Machine Learning have proven in the mobile applications industry, these two technologies are very likely to be parts of the app ecosystem for the years to come. An extremely important thing that needs to be made sure to be put in check always, is that it needs to be made sure that AI and ML should be creatively utilized for different needs instead of just picking them up as ready to use features.



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