3 Ways AI Transforms How We Develop Software


Written by Amna

December 09, 2020 | 5 min read

Since its arrival, Artificial Intelligence (AI) has emerged as a breakthrough technology transforming almost every sector. Healthcare, education, customer services, retail, agriculture, banking, and financial services are some of the key sectors revolutionized by AI for good. One such market heavily influenced by AI is software development. Software development is not the same as it was years ago; the influence of AI has made it faster, productive, and cheaper. Today, using AI, developers can build powerful and productive software in a lesser time.

AI has opened multiple doors for developers to build attractive, engaging, and more productive softwares. It assists developers in various software development functions like testing, designing, planning, programming, etc. AI has transformed software development in numerous ways, but we have decided to narrow it down to the top three ways for keeping this blog crisp. Project management, software designing, and testing must be the important areas that have had the strongest impact from AI. Artificial Intelligence furnishes developers with real-time data and thus assists them in making prompt decisions.

AI algorithms make intelligent decisions like humans, unlike machines that perform similar tasks and generate the same response. It uses a variety of sources to gather real-time information like sensors, microchips, etc. AI has emerged as a breakthrough technology whose integration in software development reduces development time and helps develop software faster. Let's move forward and discuss the top 3 ways AI has transformed how we build software for good.

#1 AI helps simplify the task of project management

Artificial intelligence has to a great deal reduced software development time by assisting developers in making quicker and prompt decisions regarding the project management. Traditional software development methods are mostly performed manually and require hours of coding and programming. But with the introduction of AI in software development, the job has become a lot easier and faster. Analyzing the project's needs accurately is a very tedious task, and a little mistake can drive the development to delays and, in many circumstances, failed projects. But with the help of AI, the job of listing project requirements has become easier.

AI and ML algorithms help developers in meeting timely delivery expectations. AI keeps tabs on project timelines, budget needed on different parts of the project, and other aspects, which are key tasks in the project management. It helps developers know which part of the software development will cost more and the approximate time it’ll take to build. AI and ML algorithms help identify the project parts that need more attention and any manual assistance if required. This is how AI assists in developing flawless software and thus increases the possible chances of success. AI mimics all the human activities, thinks like humans by analyzing past and present behavioural trends and thus helps in making smarter decisions.

#2 AI Assists in Software Designing

Software designing has always been a time-consuming and demanding task. But AI has, considerably, left a strong mark on this part of software development and eased the burden on developers. Design is a very important aspect for any software; it needs to be user-friendly, simple, and at the same time, unique and secure. The task of designing becomes more difficult if the development team involved share different time zones. Planning and decision-making are the two most important tasks that the development team should do with great accuracy. But lack of synchronization and poor collaboration due to less real-time and transparent information exchange leads to poor designing, full of errors. 

AI is the best choice for developers these days looking to design flawless and rich software. AI, along with machine learning algorithms, automates the whole software designing and planning task. It gathers data from various sources and generates instructions as a part of the designing process without manual intervention. This way, it automates the programming job and ensures accuracy and proficiency in software designing, which is prone to errors when done manually. AIDA (Artificial Intelligence Design Assistant) provides the best web design by analyzing the project needs and hundreds of combinations.

#3 Testing and quality assurance 

A software delivery cycle is incomplete and worthless without proper and thorough testing. Traditional software development which is mostly done manually is prone to plenty of errors, but via testing, we can detect them and solve them at the right time. Testing is key to ensuring that the software is bug or error-free for it to deliver seamless performance. In traditional software development practices, testing was kept for the end and usually carried out when the software was fully developed. However, this is a serious mistake as if any error or bug is found in the software; the whole project needs to be re-evaluated to clear the bug. With the introduction of AI, the early detection of these bugs is possible through continuous tracking throughout the development cycle. 

AI, in conjunction with machine language algorithms, has swiftly replaced manual testing and completely automated the testing process. Moreover, AI testing is error-free and can be performed in less time when compared to manual testing. Automation helps the workforce to focus on other tasks such as maintaining codes and working on future developments rather than spending hours finding bugs. AI-powered testing helps test lengthy codes in seconds, which is very time-consuming and not necessarily accurate when done manually. Then, some parts of the software need to be tested repeatedly; AI testing is ideal for such tasks and helps carry them out efficiently. Thus fewer errors result in better quality software. So in other words, we can say that AI-powered testing acts as a means for quality assurance of the software. 

AI, in conjunction with ML algorithms, has wholly transformed software development and, on the brighter side, has reduced the development time, thus enabling developers to deliver the software in a lesser time. The benefits of AI in software development are not limited to the above three ways; there are tons of other ways this software helps. For example, building a quick prototype, decision making, etc. 

Summing Up

AI has emerged as a promising technology that has transformed the whole market, and its impact on software development is hard to ignore. Traditional software development practices took a long development time and, thus, more money. Also, as mostly they were done manually, the software was prone to error. Manual testing also gets inefficient when it comes to repeated testing and analyzing lengthy codes for bugs. However, with the integration of AI in software development, the task has become more simplified and faster. With AI, you can easily test millions of codes in comparatively lesser time with greater accuracy. Moreover, AI has also reduced the burden on development teams in making decisions regarding project management. Collectively we can say that AI has transformed software development for good and made it more efficient as well as reliable.

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This is a guest post contributed by Goodfirms.
Author Bio - Hi There, I am Shaun Williams, a content writer with Goodfirms, a research platform for Cloud Computing, Ecommerce companies, Translation services companies, among many others. I enjoy communicating ideas and knowledge creatively and also ensure that the readers never suffer from boredom while reading my posts.

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