Are generative AI and no-code development becoming synonymous?
It looks like this. Both provide ways to quickly generate code by specifying some routine. But there are also distinct differences – namely, generative AI helps professional developers, while no and low-code is aimed more at non-developers. Non-developers probably won’t be ready to fuss with AI-generated code any time soon.
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recently survey Of the 2,000 IT executives released by Microsoft, 87% of CIOs and IT professionals say that increased AI and automation embedded in low-code platforms will help them better utilize the full set of capabilities. This is “a trend we’re seeing in low-code tools,” comments Richard RileyGeneral Manager of Microsoft’s Power Platform.
“Generative AI certainly appears to be another way of generating code automatically,” says Dr. james fairweather, chief innovation officer of Pitney Bowes. “It is showing the potential to be a huge aid in bridging the gap between human intent and the computer programming needed to solve a task.”
However, Fairweather says that software development is a far more complex experience than simply pumping out code. He explains, “The generative capabilities we are seeing in language and image models are only a small subset of the topics that will need to be modeled for generative AI to play a larger role in automated software development.” “Every software system has additional considerations – such as logical and physical system architecture, data modelling, build and deployment engineering, and maintenance and management activity – that still appear to be well beyond current generative AI capabilities.”
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AI will eventually serve “as a way to enable low-code and no-code environments” Leon Kallikkadan, vice president of technology at Atrium. “I also think that as other partnerships may come along, it will make low-code and no-code more likely. I believe it will be a phased approach that takes place as you, the human developer, When we create an AI component, creating an AI component will start as a vision or a future step. The long-term prospects depend on how deep the integration goes, but yes, it can go as far as becoming a low-code, no-code environment.”
No and low-code solutions may be suitable for non-technical users. “Less Code is more targeted towards non-coders,” says jessie rees, CTO of Hummingbird. “It provides organizations with the ability to re-imagine business processes without having to acquire intense IT expertise. This is critical for small to medium-sized businesses, especially during the ongoing labor challenge where they may be short on staff. or they do not have the resources to support the operation of the business.”
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Experts say that generative AI is more suitable for development tasks requiring a high level of expertise. “For building apps, I don’t think it’s as much about low- or no-code environments as we currently envision,” says Louis Landry, Engineering Fellow with Teradata. “Building things has always required code. Rather, it’s about simplifying and speeding up the coding process for programmers.”
Generative AI works by “rapidly providing code that supports an existing system or infrastructure,” Reiss says. “What I see now is that the businesses that are able to leverage generative AI most effectively are the businesses that have the underlying framework or infrastructure in place to support the use case. Are able to make AI faster, easier and simpler or are able to incorporate AI into existing product lines.”
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Still, generative AI can help make low-code more no-code. “One of the most important benefits of generative AI is its ability to bridge the gap between low-code and no-code environments,” says Oshri Moyal, Co-Founder and CTO at Atera. “By providing pre-built models and code templates, Generative AI allows developers to build sophisticated applications without the need for extensive coding skills. It democratizes the development process and allows a wide range of individuals to participate in building technology solutions.” Opens up opportunities for series.”











