Typing in code helps us keep our data models in strict form. It helps to keep the code consistent and makes it possible to catch various errors and inaccuracies before running the code. It makes writing code much more efficient.
Good code should work quickly and use the best possible algorithms and data structures in such a way that the application is both fast and consumes sufficiently little resources. The optimality of the application is also evidenced by, for example, the selection of external libraries in such a way that they fit the specific application as much as possible.
A scalable code is one that allows you to maintain a specific architecture for both light and heavy load traffic. The responses of a scalable application are reliable and stable - both when the application is used by 10 or 10,000 people.
Documentation allows us to clearly convey the intentions of specific methods, classes and variables. A well-prepared description of the code in the documentation should highlight how it works in such a way that the developer does not have to analyze the source code too deeply.
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