From coding to deployment, artificial intelligence (AI) has recently made its way into the world of software development, forever reshaping the way we conceptualize software technology.
What is AI?
Generally speaking, AI is an umbrella term for computer systems that use algorithm-based learning to perform tasks that would otherwise require human intelligence. These tasks might include the ability to perceive and sense an environment, the ability to generalize reason, and the ability to understand, communicate, and learn.
When it comes to software development, AI technology promises huge advancements in the near future. We have already seen AI both accelerate the software development lifecycle and optimize software workflow throughout every stage of development. Now, while AI continues to evolve, software developers can expect to see major improvements from productivity and quality, to speed and efficiency.
6 Ways Artificial Intelligence Benefits in Software Development
Speed and Scale of Development
The whole point of technology is to save time. And time-based performance indicators along the software development cycle, such as development speed, scale, and testing, greatly improve with the implementation of AI machine-based learning.
For example, before the emergence of artificial intelligence programmers, software developers had to hire quality assurance analysts to manually test the functionality of their new software. This type of manual testing took more time, cost extra dollars, and often involved a high chance of error. But the artificial intelligence life cycle is capable of conducting all these tests automatically—and more thoroughly. With AI-powered computers running preliminary tests, the entire software development process can be shortened, while also producing more accurate results.
In addition to streamlining the software testing process, AI also reduces waste, condenses repetitive manual processes by performing both faster and better than human analysts, and helps increase the speed and accuracy of coding.
Fewer Tedious Tasks
While AI is still a long way from being able to write code on its own, thanks to automated AI, software developers are freed from some other tedious tasks associated with the development process. By automating and assigning tasks to artificially intelligent machines, developers are able to concentrate their energy on more complex tasks. This restructuring of tasks will allow for tremendous growth as software developers learn to work in tandem with AI machines.
Another great feature of AI is its ability to make strategic decisions. AI can be programmed to analyze the successes and failures of previous software in order to assess new software, thereby minimizing risk through superior analytics. These analytics allow developers to make smarter, more strategic decisions.
And as this technology continues to grow, computer power and data storage will increase exponentially, allowing us to further augment human intelligence with machine precision. When AI is calling the shots, human biases are overridden.
The main reason for downtime in the software development process is error management. This is especially true if you run a software-as-a-service (SaaS) or other cloud-based software platform. And whenever an error arises in software, the amount of downtime it takes to correct that error costs money.
The process to manually correct software errors is time-consuming. But with an AI-powered programming assistant, past software is automatically analyzed, and common errors are identified and circumvented. By flagging potential errors early on in the development process, artificial intelligence developers provide optimal, cost-effective error management.
There isn’t much worse than an unmet deadline. And in the world of software development, customers expect reliable timeline and cost estimates. Precise predictions require both expertise and contextual understanding.
Fortunately, developers can now train AI to generate accurate predictions for them. By inputting data from past projects, an AI-powered machine can determine precisely the time, effort, and budget required to develop each new software project.
Nowadays, most video conferencing softwares implement AI-enabled tools to gather real-time feedback from users. This feedback can be analyzed in order to improve customer experience. It can also provide developers with real-time statistics regarding which elements need improvement. By training machine learning algorithms to analyze how each user interacts with a platform, software developers can use AI to create the most dynamic software experience possible.
Staying up-to-date in the software industry is a full-time job. And introducing software powered through AI can seem daunting. That’s why many companies turn to business partners like KitelyTech, INC. for assistance. At KitelyTech, INC., we work with companies to develop and implement new software solutions. Call us at (800) 274 2908 to discuss your business’s software needs and find out how we can help.