Generative AI: The Game-Changer for Professional Developers
Move over non-developers, generative artificial intelligence (AI) is here to revolutionize the coding game! According to a McKinsey analysis, AI could potentially boost the productivity of software engineering by 20 to 45 percent. This means that generative AI has become an indispensable tool for professional developers, leaving untrained citizen developers in the dust.
What exactly does generative AI do for developers? It helps reduce the time spent on various coding activities such as generating initial drafts, code correction, system analysis, and designing new systems. By speeding up the coding process, generative AI is pushing developers to focus more on code and architecture design.
But wait, what about low-code and no-code development? While these techniques also involve generating code, they are primarily aimed at non-developers. A Microsoft survey revealed that 87% of IT executives believe that incorporating AI and automation into low-code platforms will enhance their capabilities. So, low-code and no-code technology is still relevant, but generative AI takes the cake for professional developers.
James Fairweather, chief innovation officer at Pitney Bowes, acknowledges the potential of generative AI in bridging the gap between intent and programming. However, he highlights that software development is a complex process that requires additional considerations beyond what current generative AI can handle.
The real game-changer lies in the potential of AI to enable low-code and no-code environments, making it easier for non-programmers to create applications. Leon Kallikkadan, VP of Technology at Atrium, envisions a future where AI becomes an integral part of the development process, creating visions and future steps alongside human developers.
Don’t be mistaken, generative AI is not about eliminating code altogether. It’s about simplifying and speeding up the coding process for developers. On the other hand, low-code and no-code technology are more suitable for organizations that lack extensive IT expertise but still want to streamline business operations.
Ultimately, generative AI will bridge the gap between low-code and no-code environments. By providing pre-built models and code templates, it democratizes the development process, allowing a broader range of individuals to participate in building technology solutions.
So, dear readers, what are your thoughts on generative AI and its impact on the coding world? Are you excited about the prospect of low-code and no-code environments becoming more accessible? Share your opinions in the comments below and let’s spark a conversation about the future of coding with AI!
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