There’s no way AI is going to write applications for us anytime soon. It may happen in the future, but even if it happens, there will always be the need for human developers.
When it comes to the discussion of whether coding will be relevant in the upcoming years, there is no way we can predict what will be the future for coding. We can guess some instances where it will be more relevant than others.
As we come to see the applications of AI and ML in real-life, the change in the technology world is going to be prominent.
It will impact the role of coding, of course, but in no way we can say that it’s going to end the need for coding.
Take for example, while automated testing has many benefits, it has not replaced manual testers. They are still in huge demand.
Similarly, when AI needs to be trained, who’s going to do that? Who’s going to create ML algorithms and apply them in software development? Human developers, of course!
There’s no denying that the role of developers will change in the upcoming times, which is why we are here to discuss the impact of automation and technology advancements on coding and developers.
Let’s take a ride then-
As we see a smooth and quick transition of various industry domains to advance technologies like Machine Learning (ML) and Artificial Intelligence (AI), it is big proof that data is now the biggest asset.
However, the power of these advanced technologies can only be harnessed by engineers, developers, and data scientists. Therefore, the programming experts are still required to program these smart systems and ML algorithms but with time, these systems will learn to analyze and evolve themselves with the data received over time.
For instance, Google self-driving cars are running around today because the data engineers and experts in the team learn to devise a system that will collect real-time data so that their car can learn from it how to improve itself.
Going further into the future, where these advanced smart tech systems will become an easy-and-affordable-to-get thing, we will see a surge where companies will be hiring software developers with a huge demand to transform their algorithm-based infrastructure to data-based applications.
The upcoming time is very bright for software developers who know how to leverage ML in coding and apply it to building data-driven software solutions.
About a couple of years ago, Microsoft CTO Kevin Scott actually talked about an experimental project where an AI, trained on code in GitHub, creates simple programs (function bodies) out of a given description.
It was quite an easy task and even easier demonstration, but it raises a concern upon the long-term impacts and implications of AI.
Although, while AI can create and execute some simpler programs using descriptions, could they also implement complex code, like creating a CRM software on its own just by reading the requirements? Maybe in the later future but not anytime soon!
So one thing is for sure, that the complex coding tasks need expert human minds and though AI can assist them in it and can liberate the developers from doing mundane tasks like creating simple programs, it’s not going to be THE END for coding jobs.
But we can definitely expect programming to get automated, and the role of software developers will also change with this automation.
In the long run, applications will code themselves, and it will fall down on the developers how well they can describe the problem to AI and how can they implement their problem-solving skills to extract the maximum out of the smart machine.
If you are into software development, you must have heard about this new approach of ‘low code, no code’, haven’t you?
Low-code is a new methodology to build web applications, software solutions, and enterprise software that requires little to no coding. Now you would be baffled as to how can software be developed without coding?
Well, a low-code automation platform uses quick tools, interfaces with logic, and built-in drag-and-drop properties to embed extensive functioning in the software instead of explicitly using a programming language.
But why are we talking about low-code here?
Because that’s what the future of software programming and development looks like!
“According to Gartner’s survey report, about 75% of the enterprises will be using at least 4 low-code tools by early 2024.”
The low-code methodology is rapidly gaining grip among industries due to the obvious automation advantages it has to offer, such as-
Low-code automation introduces us to a new age of coding with decreased dependency on IT professionals.
We can see a future where even non-professional developers will build various software applications to meet business objectives using the low-code platform.
The future of coding is in automation.
From whichever angle we see it, automation will take over in every field and coding will help it thrive even more.
A quick tip to the developers here is to adapt and upgrade their skills with the shift in technology to have an irreplaceable place in the IT world, despite all advancements.
Whether AI taking over, ML driving enterprise or low-code automation building applications, nothing can ever replace a human mind, after all, humans build machines and not the other way around!!😊