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Will low code really replace programmers?
ChatGPT is a very powerful language model, but it is not omnipotent. It needs manual programming and checking in the scene of generating code, so to some extent, the use of ChatGPT depends on the escort of programmers to ensure the completion of the application. Talking about changing programmers is really over-interpreted.

The explosion of ChatGPT reminds me that the appearance of low-code platform, which will also improve the development efficiency of programmers, has also been stigmatized by human beings, threatening the career of programmers.

Through the low-code platform, you can quickly develop various application systems by dragging or editing a few lines of basic code. Most importantly, low code has changed the requirements of traditional development for professional skills. Now as long as you master some basic code knowledge, you can develop an application system without any foundation! As the mainstream JNPF low-code platform service provider in China, the person in charge of JNPF low-code platform believes that the essence of low-code is to liberate developers from repetitive code work, and low-code plays the role of "helper" rather than "substitute" in this process. Because there are always some marginal technical problems that are easily overlooked and need to be solved by programmers, and these problems cannot be replaced by low code.

Moreover, low code does not mean completely abandoning code. On the contrary, when the platform cannot meet some complex business scenarios, code assistance is needed. Of course, the amount of code in this process should be controlled, otherwise it will violate the essence of low code development.

Like some codeless platforms in the market, you can't see any code, but when the platform needs to deal with the development of complex business logic systems, it will be overwhelmed. JNPF retains this flexible development mechanism. When it needs to deal with deeper business logic, if the platform development can't match completely, programmers need to realize related capabilities and services through code development.

The demand for secondary development has exceeded the ability of application creators, and professional programmers are needed to develop based on the platform.

Therefore, instead of delving into whether low code will make programmers unemployed, it is better to think about how to make programmers more valuable and make low code a lubricant for programmers' work through the blessing of low code technology.

Finally, how can ordinary people not be replaced by OpenAI?

It is better than ordinary people in some aspects, especially for repetitive mental work, such as repetitive writing, coding and drawing. Why not be replaced? Still need to study more, think more, practice more, read more books and do more challenging things. The key to avoid being replaced in cognition is to constantly learn and improve one's ability and try to adapt to the new environment and challenges.