Independent research from Apiiro shows developers using AI introduce roughly 10 times
more security issues than those who don't. Amazon engineers describe a culture of bypassed review.
Across the industry, engineers say reliance on AI assistants to write and deploy code is rapidly
changing the nature of software development jobs — and introducing new risks. "People are
becoming so reliant on AI that essentially they stop reviewing the code altogether," one Amazon
engineer, who asked to remain anonymous, told Fortune. The developer said that even technically
skilled staff are moving into more of a "review role" rather than actively coding, with AI handling
much of the actual implementation.
A July 2025 Fastly survey found that senior engineers ship nearly 2.5x more AI-generated code than
junior ones, because they are better at catching mistakes before they compound. But nearly 30% of
seniors said fixing AI output ate up most of the time they had saved. Junior developers often feel
like they have banked bigger productivity gains because they do not yet see the full technical debt
or latent vulnerabilities that their AI-assisted changes are quietly adding to the system.
Meanwhile, research from security firm Apiiro showed that developers using AI introduced roughly ten
times more security issues than those who did not. AI models, as AI researcher Andrej Karpathy has
noted, can make subtle conceptual errors, over-complicate code, and leave unused code behind —
problems that are manageable in a controlled environment but harder to catch and fix at scale.
Read at Fortune.com →
Excerpt for editorial reference. Full article at Fortune.