Commentary: Should we still learn to code if the future is all AI and ‘Low Code No Code’?

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Commentary: Should we still learn to code if the future is all AI and ‘Low Code No Code’?
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Coding skills no longer seem necessary to write programs when ChatGPT can spit out code to be copied and pasted. Even with the rise of “Low Code No Code” technology, learning to code may be valuable, says Singapore Computer Society president Sam Liew.

Third, LCNC technology has the potential to bridge the shortfall of tech talent by leveraging non-tech resources. This can reduce development costs since the costs of skilled tech professionals have risen significantly over the years, especially for smaller projects.

Custom coding is still required to develop complex solutions that require bespoke logic, say for a tax processing system, or when integrating LCNC platforms with complex interfaces, legacy systems and other custom-built applications. Non-standardised code used in LCNC platforms can also make it difficult to identify and resolve issues, demanding extra effort to effectively maintain applications. Custom coding also plays a crucial role in creating proprietary competitive advantages for organisations.

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