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AI Lets Anyone Build Apps, But Skipping Human Review Still Costs Dearly

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A growing trend celebrates solo developers building apps over a weekend using AI tools, with no engineering team or formal background. However, critics argue that the absence of structured review processes — code reviews, QA testing, and managerial sign-off — leads to silent but consequential failures. Historical examples reinforce this: JPMorgan Chase's 2012 London Whale trading loss, partly traced to an unchecked spreadsheet formula error, cost the bank $6.2 billion. Similarly, a widely cited 2010 economic paper by Reinhart and Rogoff shaped years of government austerity policy before a graduate student discovered a formula error in 2013 that significantly altered its conclusions. The core argument is that review failures, not tool failures, are the recurring culprit — and AI-assisted development does not change that fundamental human blind-spot problem.

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AI Lets Anyone Build Apps, But Skipping Human Review Still Costs Dearly · ShortSingh