The problem with binary-based programming is this. All operations that the computer should make must describe separately. Or otherwise, the computer doesn't know how to make the operation. The thing that demonstrates this problem very well is the case when the computer should make a circle.
In that case, the programmer must describe every single line and point in that line for the computer. So the list of the code is very long. The programmer can describe the circle for a computer by using the groups. There might be a library in the programming tool that involves the description for making the circle.
And then the programmer can handle all event handlers or variables as a group. But then we must realize that there is some other programmer. Who made that library. Making libraries makes it possible to handle those variables as a group but it just turns the work to other programmers. Of course, that table or library can have automatized input for the variables. And the programmer must just tell how large a circle that system must make.
That thing is theoretically easy to make. First, the programmer must make the base circle for example a circle. With a radius is one centimeter. Then the event handler must just multiplicate the numbers by the value or number. That the program's user gives. If the user wants to make a circle whose radius is two centimeters every value must multiplicate by two. And that program can use as a subprogram.
The powerful AI-based programming tools can involve the possibility that the programmer makes the program by using regular language. In that case, the hard work of programming transferred to the AI-based software, made by high-class professionals. So the person who is working with end-user solutions must have less work when that person connects the program modules to one entirety.
Modular programming is based on the same idea as element building. In that model, the program is collected by the elements. In programming, every single table of the code is involving the instructions for a certain operation. And the programmer who is making the customer software must just connect certain tablets to one entirety. Artificial intelligence can collect those tables from the library if those tables or elements are marked for certain use.
The idea of modular programming is that the same code can use in multiple places. The highly sophisticated artificial intelligence algorithm can search data from the internet. And then make the new tablets for users. That means that in the future. AI-based programming can be where the programmer just writes a description. Of what kind of program the AI must make. And then AI connects the certain modules for the new program.
But the qubits are the thing that is revolutionizing the programming. The thing in quantum computers is that all variables can be described as one group. Those operations can load to qubit in at the same time. That thing is one of the most fundamental advances in computing. The principles of the programming are similar to before. But the fast operating computers allow us to drive more complicated artificial intelligence-based programs and algorithms than ever before.
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