The future of code: what to expect in the next 5 years


It is often thought that coding is something relatively new. But in fact, the first algorithm was published 175 years ago by Ada Lovelace, an English writer, and mathematician. The algorithm was created to calculate a chain of Bernoulli numbers on the Analytical Engine. And since then coding has developed massively.

However at first code was utterly different to what it is today its purpose is still the same – to teach a computer how to act in order to implement a needed command. And nowadays coding is needed not only in tech-companies but in every company that uses computers.

Code today

Today you can create a landing page within a few clicks or develop software not knowing any code at all just using a simple app. With each year the number of services that give people the opportunity to code without knowing how to code grows enormously and that’s when people start to panic a bit. But the cultivation of such apps is inevitable as we rely on technology more and more each year. With each year technologies evolve and appear in each aspect of our lives so if we know how to deal with minor problems or at least understand their core it is beneficial for us as a society.

Because of such a development there are more and more coding schools that are appearing every month, more courses and opportunities for people who didn’t study math at university and have no technical skills. Now they can learn and implement their knowledge, incorporating it with their day-to-day life. Also nowadays kids are being taught how to code at kindergarten and schools even, as this skill is now more essential than ever.

Also, the code is a universal language that can bring people closer no matter which nationality they are or what language they speak, because the code is the same in each country, without exception. And also everyone relies on code in each company or business, so it is a common ground that can help people find how they can solve the problems together and unite.

Although math and literature are often represented as two opposites as you have to rely more on logic in math and be creative while studying literature, learning code can help you understand how your computer works, how your favorite services are built and how the software is being developed. Coding teaches you to implement math algorithms using both your logic and creativity.

People VS Machines

Many people are afraid that they will lose their job due to automation. Machines are slowly taking such jobs as drivers, cashiers, cooks and so on. But despite the fast growth machines are still not as advanced as to take all the jobs, for example programming. There is still a long way to go until machines would learn how to code and even if they do, people would still need to repair and fix them. After machines learn how to fix themselves, humans will create new technology and get to the next stage of developing artificial intelligence.

It may seem that technology is becoming more and more advanced at a really fast pace, but soon with such growth, it would just transform into something else and in a few decades programming would be something utterly different to what it is today.

Big Data

Big Data enables the development of Artificial intelligence and enhances the opportunities for improving Machine learning. Now you can reach all the needed analytics within a few clicks, and it is easier for AI and Machine learning technologies to construct predictive models that can enhance the autonomy of devices.

For the most part, big data is relied on in most of the industries like government, communications, healthcare, banking and many more. Applications are on demand in all of these industries and that’s a lot of opportunities for programmers.

Functional Programming

Functional Programming is a way of programming that uses expressions and declarative statements, concentrating on mathematical functions to declare statements and it can be the basis for writing Javascript.

There are many elements that became unnecessary and irrelevant and many new and advanced are appearing and being improved daily. To put simply it is now easier for programmers to write legible, simple code that can deal with important tasks by just combining fundamental mathematical functions. And programmers of today have to learn new strategies that were unknown even a few years ago.

Open Source

Open source applications are prevailing on the programming market. Anyone can access code, change it and share it. Perl, MySQL, Firefox and The Apache HTTP Server are all examples of open source programs. We interact with open source software every day, when we communicate with friends online, visit websites or check our email. The open source transmits and routes data to remote computers, applications and browsers. Cloud services are evolving and becoming more and more needed and the need will grow as we use the Internet each day and the number of industries that rely on the internet in their business is growing too.

Open source software is appealing as it is easier to learn and to work with. While studying you can share your code with others and learn faster, it gives your control over the code when sharing you are capable of learning on your mistakes quicker also letting others avoid the mistakes you did.

Applications and services can become better just due to fixes and updates that are made by programmers who can see a flaw and resolve it at any time by themselves. Quick fixes make the software more stable and reliable, so an open source software is supposedly more reliable in a long run that not an open source one.


There are languages that are in demand and keep being in demand for years, but they’re also ones that are capable of creating solid and strong code and are not yet as popular. For example, Scala, Go, Crystal, Haskell, Elm and so on. We decided to share the list of languages we find to be perspective in programming in the next few years, so if you are deciding on which language to learn – here is our guide with that can help you make a decision and choose the one from our top-10.

#1: Scala

Scala is one of the most popular functional languages with a huge user base. It was created on the JVM, therefore you can run everything you write in Scala on anywhere Java runs which is nearly everywhere.

Functional languages are good at building solid code that is free of many bugs and is easier to modify, it is convenient, simple, flexible and the only issue you can have is that functional approach is not a solution to every problem, so your application might need something else.

#2: Haskell

Haskell is the second favorite of the functional programming fans. The academic code is often notorious for showing not the best performance, but this is not the case with Haskell, it can actually drive good results on real projects. No wonder Facebook is using it for their projects.

#3: Elm

Elm is a usability-focused functional programming language that is reliable, maintainable and you can use it with or without Javascript when building user interfaces on the web. Javascript community prefers it to the most functional languages on the market.

It is known for giving no runtime exceptions, having a helpful compiler and reliable package manager, scaling nicely, syncing between application and stylesheets, rendering application UIs faster.

#4: Go

Go is a language that Google decided to build to power the server farms and they wanted it to be as simple as it could be. So Go is basically an easy syntax with a few specific features. The creators wanted is to be as simple as possible, so when someone looks at it or needs to change something it is pretty clean and not complicated.

#5: Rust

Rust is a systems programming language created at Mozilla aimed to take over C and C++. No wonder it is becoming more popular among programmers. In 2016 it was named the most loved technology on StackOverflow’s survey, most of the programmers who were using it wanted to keep using it in the future projects.

Why is Rust loved so much? It is loved for many features, like memory safety of a pure code, also its speed, Rust is focused on abstractions that don’t take a lot of time, therefore it runs faster. Rust supports modular programming, so a type is not inherited from the class each time but a programmer can just name type’s traits and abilities and run a needed command. It is also equipped with a package manager that has a cross-platform API’s compatibility.

#6: CoffeeScript

CoffeeScript is a preprocessing tool that turns syntactic shorthand back into JavaScript. It leads to a cleaner code and is not a language by itself but rather a helpful tool. With CoffeeScript, your code weighs lighter, runs faster and is easier to read and understand.

#7: Less.js

Less.js is also a preprocessing tool, but it has a different function. Less.js helps you create more complicated, detailed and neat CSS files. Less.js uses basic programming constructs to create a simple CSS. For example, you can choose white as a background and a highlight color at the same time and if you need to change it later – you only have to change that one part of the code. It has more sophisticated constructs too so you can build layouts that you like and they can be added to any number of CSS classes.

#8: Elixir

Elixir is a functional concurrent language that compiles to bytecode and runs on the Erlang Virtual Machine (BEAM). It is created to be convenient, scalable, productive and maintainable. It is used to build applications and embedded systems. The creator of Elixir was massively inspired by Ruby, so the toolchain may seem recognizable. This language has convenient development tools, is scalable, concurrent and keeps the code clean.

With Elixir you can get high performance, speed and scalability at once. No surprise it is used by such companies as Moz and Pinterest.

#9: Crystal

Crystal is an object-oriented programming language with automated garbage collection, advanced type inference and with syntax very similar to Ruby. But the purpose was to create a language with the performance of Ruby and the efficiency of a compiled language and that’s what creators managed to achieve.

So despite the similar syntax, Crystal compiles to efficient native code using an LLVM backend, has a macro system and supports generics and operator overloading. To achieve concurrency it uses channels inspired by CSP, the same way Go does.

#10: Kotlin

Kotlin is a statically typed programming language which runs on JVM and can be compiled to Javascript source code or use the LLVM compiler infrastructure.

You can simply build Android applications with it and this is a major benefit of Kotlin, it is also very adjustable, so it doesn’t matter if your application is on the web, mobile, desktop or server-side. With Kotlin you can lessen the amount of boilerplate code needed to express certain constructs and let it handle some minor problems like null reference exceptions. The language can interact with existing Java codebases, libraries and frameworks by itself. There are also many benefits you can find on the official site of the language.

At Google, I/O 2017 Kotlin was announced as an official Android development language in addition to Java and C++. Kotlin is used by Pinterest, Coursera, Netflix, Uber, Trello, Amazon Web Services, and other big companies.

So What?

So, to conclude, the code is needed in nearly every company nowadays. Machines are evolving, but not as fast at to steal our jobs in 5 years. There are 3 main essential points that drive programming now: Big Data, Open Source, and Functional Programming. And their many languages which are becoming more innovative and make code easier each year.