When AI writes the code, who takes responsibility for what goes wrong?
AI coding tools now generate code faster than engineering teams can review, test, or fully understand it. The result is a widening gap between how fast software gets written and how carefully it gets reviewed.
Veracode’s latest GenAI code security update, published in October 2026, found that AI models still failed its security tests about 38% of the time. Meanwhile, AI already generates roughly half of all committed code, according to DX, so that failure rate reaches a growing share of production software. An independent analysis pointed the same way. IOActive’s April 2026 whitepaper found that nearly a third of AI-generated code samples were fully exploitable.
That is how code review stops doing its job. JD Raimondi, Chief AI Architect at software consultancy Making Sense, called it “approval theater.”
A developer reviews AI-generated code without understanding every decision behind it. The code runs, so it gets...
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