Software development and coding have changed a lot going deeper into complexities which have made many people lose interest in the field and hating the job sector. It is evident that something has to be done and Artificial Intelligence is the solution. It took no time for the vintage trend to enter the computer programming world. Recently, we have observed the revival of 1990s web design technology where developers felt a sense of remorse from the pixelated imagery and GeoCities glory days.
When we look back in times, there was plenty of developers on the online platforms who were dedicated to developing websites with vintage appearance featuring awkward fonts, repetitive midi soundtracks and flashing banners. Operating systems such as Windows 93 were not left behind as they experienced the nostalgic makeover with vintage error messages that scrutinized developers with hard times. Coding used to be simpler during the days, but as we progressed, systems started becoming complex where the need for code test had to be performed. This was a tedious work hated by every developer since the systems required more functionalities which required code test time.
During the olden days, there was no need to worry about personalization, APIs that are so complex and the most tedious development phase known as code testing. A developer just coded easily and could troubleshoot the systems and detect errors easily.
How times changed the way things are done
If we look back from the year 2017, we can see that the current systems being developed are becoming more complex because of the demanding functionalities arising in businesses and the tasks required to be executed by these systems. The development cycle requires that the systems undergo the testing phase which comes almost at the end of the development cycle. This is a tedious and the most hated task because it is time-consuming turns the situation worse if it happens that the system develops some errors considering that you were almost completing the development cycle and now you have to start all over again.
Businesses have hard times to find an eligible software developer willing to perform the code test process. There are no skilled code testers available as people are not passionate anymore in pursuing the course. Companies end up spending more money trying to find skilled code testers who have become scarce in the field of computer science. This is where experts and stakeholders need to come up and find an amicable solution. One of the solutions would be stripping off the task of coding from human beings and teach the code to find the errors itself and fix itself. If it is achieved, this would mean more time to concentrate on other important matters; businesses would be spared extreme costs they incur and the most important might be reviving the fun of coding as it used to be during the olden days.
What needs to be done
This will require developers with adequate computer science skills to create tools that will understand what the program is trying to achieve and be able to project the necessary required to fix the program depending on its functionalities.It can be termed as a self-coding code which theoretically means anyone can be able to code given that it won’t be requiring many skills in programming and computer science.
If this can be realized and made to work, you won’t necessarily need to read or write. It would be as easy as explaining to the computer what you need and direct it to write the program and perform the code test while you as a developer concentrate on the fine tasks of actually designing and improving the user experience.
How to achieve this
The stumbling issue is how we can achieve this? We have to employ a lot of Artificial Intelligence. Computer science experts have worked hard to generate the neuro-networks that attempt to operate like the human brain. It requires skills and to teach the neural network to recognize a dog by showing it repeated photos of the dog so that it understands the dog category instead of teaching the dog features like an eye, fur, and ears. If these efforts are persistent, the neuro-network will stop misclassifying dogs like foxes and eventually learn.
This will require a lot of efforts, but if it is achieved, the neuro-networks will be able to fix themselves and progressively develop programmes from scratch. It will bring back the ages when coding was interestingly different from the current trend of the complex commercial web era. The prospective news is that things can be reversed and Artificial intelligence takes the place of complex, tedious coding and performing code test. It may not bring back complete olden days, but it will provide developers a humble time to engage in creative work and also spend less time executing code test processes.