What Does "Code Accuracy" Mean When AI Builds Your App?

The crux of the article is that when non-technical founders ask if AI-generated app code is "accurate," they're often only thinking about whether it runs without crashing, which is a limited view. This narrow focus can lead to overlooking significant issues like incorrect results, data exposure, performance under load, or an unmaintainable codebase. Understanding these broader aspects of "accuracy" is crucial for ensuring that AI-generated code is truly reliable and functional in the long run. This matters because flawed code can lead to bigger problems down the line, impacting user trust and operational efficiency.