I was a huge fan of No-Code tools for a long time and still see an important role for them today. The speed at which prototypes and functional products for specific tasks can be individually crafted is unattainable with traditional programming. The value that subject matter experts bring to a data process when they are able to participate is invaluable. Many meetings and complex documentation and definitions are eliminated by removing the "programmer" interface.
The fact remains, however, that the tools only solve a symptom of a more fundamental problem: humans and machines do not speak the same language.
This is something that even AI cannot solve (yet!). Nevertheless, it may be able to function as a translator and reduce the gap. Today, AI tools like ChatGPT, which is currently all the rage, can be a helpful companion in programming tasks. It can understand complex source code, incorporate changes, perform debugging, and even write entire programs. This doesn't relieve humans of the task of understanding what the machine is supposed to do, but it can be very helpful, particularly in introducing newcomers to certain languages and providing easier access.
The question is, how much does the application spectrum of No-Code tools limit? So far, the speed of development and the integration of "non-IT" personnel into development have been mainly juxtaposed with many disadvantages such as dependence on third-party providers, limited functionality, and compatibility restrictions. Both are increasingly being relativized by the use of AI.
What do you think? Is there a shift in the communication between humans and software?
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