A lot has been said about artificial intelligence affecting our lives, taking our jobs, and transforming our world. Indeed, technology has gone so far that AI learns to code and empowers non-technical people to create complex things. What does it mean for the future of software development?
1. The trend for AI is skyrocketing
Is it time or not, artificial intelligence is embracing the technology world. Ever more companies show their interest in implementing artificial intelligence into their working processes. According to Upwork, AI has become the second fastest-growing skill and keeps gaining its overall popularity. Software developers will be able to exploit core AI technologies such as machine learning, deep learning, predictive analytics, and natural language processing to create self-learning apps. Even without AI, low-code and no-code platforms allow non-technical people to build an application. All that said, it seems that software developer jobs are in danger of low demand.
However, IT professionals are still divided on the future of AI. While ones believe that only a few years separate us from getting a sleek and fast basic code from AI alone, others rely on the human mind to bring creativity and uniqueness to a code.
2. AI is still dependant on humans
Nothing makes us realize the greatness of the human mind more than the understanding of how difficult it is to make a computer as intelligent as a man. At present, the human brain is the most complex object in the universe ever known.
Creating a computer that multiplies two ten-digit numbers in a second is simple. Creating one that can look at the dog, and identify whether it is a cat or a dog, is extremely difficult. Creating Intelligence that beats world chess champion? Done! Creating a computer that reads a paragraph from the book for 6-year-old kids and understands their meaning? Doubtful! Google is now spending billions of dollars to implement it. The tasks that are “difficult” for us, such as complex calculations, the analysis of financial markets, language translation are simple for a computer. Those that we consider as “simple”, such as vision, movement, perception – extremely difficult for a computer.
Generally speaking, any piece of AI, such as machine learning system works as good as a human being contributes to it, and it’s hard to predict whether we ever will be able to replace human input into the technology. However, AI can make developers smarter by checking their code and providing a prompt feedback on it, thus automating their jobs.
3. AI needs data
Using AI in the context of business intelligence, for business development predictions, for example, will require enormous amounts of data, which doesn’t limit itself to ongoing data points but dates back to many years ago and expands to the farthest contacts. Artificial intelligence can’t do this, but it can take after pieces of code by recognizing them. What does it mean for software developers?
“The development work will shift from defining the algorithms to exploring, composing, and sourcing data sets to train apps to be smart. Still, non-IT companies are not ready to entrust decision-making process to the AI-based tools and rely more on reliable outsourced software development, however, AI a great assistant for any research job.
With that in mind, hopefully, the role of artificial intelligence in software development will be focused on machine learning and deep learning routines and cannot do without the human intervention. Software developers will still write the code but its augmentation or optimization for each device the way it takes less memory will be done by artificial intelligence. As a result, it will transform software development life cycle, and determine the need to bring specific skills for AI integration.
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