Reusability

Reusability

In our commercial world it is frequently the cost of our own time that is the greatest. Using our own time efficiently can be more important than writing fast programs. Although improving programming productivity is not our main topic of this book, let us briefly consider a few methods here.

The basic method of reducing time spent programming is to build on the work of others. The use of libraries, including the wide variety of commercially available source code libraries, and the C++ standard library, is a good way to build on the work of others. Since AI is a new area, a literature search of books and research papers can be useful, although it is time-consuming. Hopefully, this book is helpful to you in solving the problems at hand elegantly, efficiently and correctly.

Building on your own work is the other main method of productivity improvement. How often have you coded up a hash table? Have you ever written a sorting routine off the top of your head and then spent hours debugging it? You should perform tasks only once. This doesn’t necessarily mean writing reusable code in its most general sense, but just having the source code available for the most common problems. Modifying code that has already been debugged is far more time-efficient than writing it from scratch. Organizations should seek to create building blocks of code that programmers can use, but you can also do so in your own personal career.

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