AI coding assistants significantly increase developer productivity, yet their outputs can lead to critical errors, termed 'AI hallucinations.' Industry experts highlight common issues such as generated code that doesn't compile and inconsistencies in function definitions. For instance, a JavaScript error occurred when a function expected an object but received a simple ID, crashing the staging environment. The reliance on AI can mislead inexperienced developers, escalating the risks associated with faulty code, which could introduce security risks and compliance issues in production environments.
AI coding assistants can boost productivity, but a human in the driver's seat is still essential. Here are eight ways to keep AI hallucinations from infecting your code.
Generated code that doesn't compile; code that is overly convoluted or inefficient; and functions or algorithms that contradict themselves or produce ambiguous behavior.
The function expected an object containing an ID value as its parameter, but the coding assistant just put the ID as the parameter.
Code output by many AI assistants as plausible but incorrect or non-functional.
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