Despite its advantages, AI also has some important weaknesses:
Lack of contextual knowledge: AI does not really understand the reason for the code. He can ignore hidden design errors or anticipate problems emerging later in the software life cycle.
Chances of bad suggestions: Works by making educated assumptions on probable code models, which sometimes produces code that compiles but does not act accordingly. Without verification of humans, such errors are difficult to detect.
Lack of creativity and innovation: Software development is to solve new problems, manage change requirements and find new concepts. Do not have the ability to match this degree of innovative thought or strategic thinking.
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