2023/05/06 Microsoft Power Platform 386 visit(s) 3 min to read
The increasing use of Artificial Intelligence (AI) in daily business operations has led to the question of whether AI will replace low-code/no-code development!
AI is unlikely to replace low code/no-code development in the near future. This is because low-code/no-code platforms offer unique advantages that allow non-IT professionals to contribute to the application development process. Additionally, the cognitive abilities of human citizen developers, such as creativity, problem-solving, and deep domain experience, cannot be fully replicated by AI.
The contemporary business environment is encountering various difficulties, including a scarcity of skilled staff, heavy workloads, prolonged turnaround times, and an increase in application development requests aimed at streamlining work processes. The need to go digital has become crucial, but the shortage of mobile app developers has made it challenging for companies to find and retain them on staff. Moreover, outsourcing mobile app development has been a costly and time-consuming affair. To facilitate digital transformation, companies have started searching for technology solutions that can accelerate the process for their IT teams or enable business workers to create their own apps.
To take their business processes digital, companies are increasingly turning to low-code and no-code software. This technology helps bridge the talent gap caused by a shortage of skilled workers with the required technical expertise to develop and maintain digital solutions, which has become a major concern for 75% of employers.
Low-code platforms and no-code drag-and-drop app builders have been available for a while, but the COVID-19 pandemic has increased the demand for digital transformation, making these tools even more popular. As a result, there are now various platforms and solutions designed to meet the ever-changing needs of modern business applications. According to a Gartner survey, low-code and no-code development platforms are projected to generate more than 65% of all applications by 2024.
Low-code and no-code development platforms enable users to create applications without requiring extensive app development expertise or coding skills. Through the use of visual interfaces and intuitive app-building controls, these solutions simplify the development process and eliminate the need for specialized programming knowledge. Reduced complexity and lower demand for expert skills enable businesses to quickly develop and deploy business applications while saving time, money, and resources. These innovative software solutions dramatically increase the productivity of app development. According to McKinsey, using a low-code development platform can result in up to a 90% reduction in development time, leading to significant cost savings.
While AI can automate certain parts of app development, it can’t replace the crucial human contribution needed to create intuitive and user-friendly designs. A design that focuses on humans is key to ensuring that apps meet the unique needs and wants of end-users. Moreover, AI algorithms often don’t have the specialized knowledge required to make apps for specific industries. Thus, the human touch and the adaptability of low-code/no-code platforms remain essential in app development, even as AI technology progresses.
It seems improbable that AI will entirely take over low-code and no-code development in the near future. Instead, it’s more likely that these two technologies will coexist and enhance modern business app development. There are several ways in which AI and low-code/no-code can work together to provide value.
AI has the ability to influence low-code/no-code development, but it’s unlikely to fully replace these platforms or the developers who use them to create apps. Instead, AI and low-code/no-code can coexist and enhance each other, providing businesses with more powerful and efficient ways to develop apps. This can be achieved by incorporating AI features into low-code/no-code platforms.
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