<p>A recent survey highlights that nearly half of software developers are skipping reviews of AI‑generated code, with 38% saying it takes longer than reviewing human‑written code. This trend raises alarms about hidden bugs, insecure dependencies, and undetected logic flaws entering production. As AI coding tools become core to workflows, engineering teams need to balance velocity with safety by integrating automated quality checks and enforcing review policies that treat AI output with the same rigor as human contributions. Elevated productivity shouldn’t sacrifice code integrity, especially in environments with strict reliability or security requirements. Read more: <a href="https://www.itpro.com/software/development/software-developers-not-checking-ai-generated-code-verification-debt" target="_blank" rel="noopener nofollow">https://www.itpro.com/software/development/software-developers-not-checking-ai-generated-code-verification-debt</a> :contentReference[oaicite:0]{index=0}</p>


Vikas Rathore

A survey reveals nearly half of developers skip reviewing AI-generated code, with 38% citing longer review times compared to human code. This practice introduces risks including hidden bugs, insecure dependencies, and logic flaws in production systems. Teams must implement automated quality checks and enforce review policies that apply the same scrutiny to AI-generated code as human contributions, ensuring productivity gains don't compromise code integrity in security-critical environments.

Many Developers Skip AI‑Generated Code Reviews, Risking Vulnerabilities