Generative AI could help low code evolve into no code

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While generative artificial intelligence (AI) makes it possible to create computer code at the snap of a finger, handling AI-generated code effectively is not for the untrained citizen developer. Instead, generative AI has become a powerful tool for professional developers. 

"The direct impact of AI on the productivity of software engineering could range from 20 to 45 percent of current annual spending on the function," according to a McKinsey analysis. A team of analysts across the business insights company worked on the 68-page report. 

The Intersection of Generative AI and Engineering

The surge of generative AI can harness tremendous potential for the engineering realm. It can also come with its challenges, as enterprises and engineers alike figure out the impact of AI on their roles, business strategies, data, solutions, and product development. What does the future roadmap look like for bringing generative AI into the software fold? ZDNET decodes from all angles.

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Generative AI helps developers reduce time spent on certain activities, including "generating initial code drafts, code correction and refactoring, root-cause analysis, and generating new system designs." By accelerating the coding process, "generative AI could push the skill sets and capabilities needed in software engineering toward code and architecture design."

As a result, at least for professional developers, generative AI and no-code development are becoming synonymous. Both techniques provide ways to quickly generate code by specifying certain routines. But there are distinct differences between the techniques as well -- generative AI assists professional developers, while low- and no-code technology is targeted more at non-developers. 

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