What is a common drawback when AI generates functional code that attempts to run on memory-constrained embedded products?

Answer

It often results in 'fat' and generic solutions.

Even when AI can generate functional code, it frequently results in 'fat' and generic solutions that cannot meet the essential tight memory, processing, or energy budgets of most embedded products.

What is a common drawback when AI generates functional code that attempts to run on memory-constrained embedded products?

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