{"id":4936,"date":"2025-11-14T15:33:28","date_gmt":"2025-11-14T15:33:28","guid":{"rendered":"https:\/\/solutionsreview.com\/business-process-management\/?p=4936"},"modified":"2025-11-14T15:34:31","modified_gmt":"2025-11-14T15:34:31","slug":"how-development-teams-are-rethinking-the-way-they-build-software","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-process-management\/how-development-teams-are-rethinking-the-way-they-build-software\/","title":{"rendered":"How Development Teams Are Rethinking the Way They Build Software"},"content":{"rendered":"

\"How<\/p>\n

Zdravko Kolev, Manager of Product Development at Infragistics<\/a>, explains why AI is forcing development teams to rethink their approach to software development. <\/span><\/strong><\/em>This article originally appeared in Insight Jam<\/a>, an enterprise IT community that enables human conversation on AI.<\/span><\/strong><\/em><\/p>\n

\"\"<\/a>A revolution is underway in software development, driven by the emergence of low-code\/no-code platforms and the integration of AI. The aim of coding solutions is not to replace developers, but to make them more productive by handling mundane tasks, allowing them to focus on higher-level design and innovation.<\/p>\n

All forms of programming are likely to coexist in the near future, rather than one prevailing over the others. Traditional programming will remain for intricate systems, while low-code\/no-code and AI will address different needs. As the role of AI continues to expand, we will observe how this technology changes development mindsets and roles, with developers transitioning into “prompt engineers” who guide AI to produce the desired code output.<\/p>\n

Exploring Programming Paradigms<\/strong><\/h3>\n

In a nutshell, low-code and no-code platforms allow for the creation of software applications with minimal coding knowledge. Low-code no-code software uses visual interfaces, drag-and-drop components, and pre-built templates. These platforms democratize app development, enabling non-programmers, or citizen developers, to build applications faster and more efficiently. At the same time, C-level executives, development team leaders, and enterprise architects can focus on digital innovation, achieving a faster time-to-market. There are tools like Google Forms for simple data collection, as well as platforms like WordPress, Shopify, and App Builder for more complex solutions.<\/p>\n

Currently, 7 in 10 developers (71.8 percent) are using low-code\/no-code tools, and 90.4 percent of developers report that low-code tools are boosting developer productivity in their organization, according to a recent App Builder survey<\/a>. Moreover, according to Gartner<\/a>, “by 2025, 70 percent of new applications developed by organizations will use low-code or no-code technologies, up from less than 25 percent in 2020.” Meaning that low-code\/no-code tools are here to stay.<\/p>\n

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AI’s Role in Programming<\/strong><\/h3>\n

AI in programming enables the generation and review of code based on natural language prompts, potentially reducing the time to market for new software. Unlike the deterministic models of the low-code\/no-code approach, AI can produce variable outputs, which might require more oversight for consistency. AI programming can also enhance productivity by handling repetitive tasks and providing quick solutions for prototyping or small-scale applications.<\/p>\n

However, there is a risk of poor quality when integrating\u00a0AI capabilities<\/a> into common and already determined workflows. Additionally, if AI capabilities are not properly managed by skilled developers, the result could be subpar performance or low-quality outcomes. \u00a0For example, AI-generated code may not capture the full context of a large, complex system because it lacks a comprehensive understanding of the entire system, leading to integration challenges. That\u2019s why team leaders, CTOs<\/a>, CIOs, and their development teams must understand what exactly AI does so they can utilize it effectively.<\/p>\n

According to the\u00a02024 Stack Overflow Developer Survey,<\/a> “Developers are increasingly adopting AI tools but remain skeptical about their accuracy and ability to handle complex tasks, viewing them as complementary rather than a replacement for human expertise.”<\/p>\n

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The survey found that developers learning to code (27 percent) were more uncertain about AI as a threat than seasoned coders (18 percent). Six out of 10 (62 percent) professional developers are using AI tools this year, compared to 44\u00a0 percent last year. Three-quarters (76 percent) of the developers surveyed are currently using or plan to use AI tools, and 72 percent have a positive attitude towards using AI tools at work.<\/p>\n

One of GenAI’s key promises was its ability to deliver quick solutions and speed up time-consuming processes. However, 31 percent of developers are skeptical that these tools offer accurate solutions, and 45 percent believe AI tools are not good at handling complex tasks. AI is not threatening to replace developers because it has not yet replaced humans in the development process.<\/p>\n

Traditional Programming<\/strong><\/h3>\n

Traditional programming is well-known because it has been the foundational approach to software development for decades. It involves writing code from scratch, offering the highest level of customization, and providing control over every aspect of an application, from scalability to performance.<\/p>\n

The following development statistics illustrate the traditional development approach:<\/p>\n