Codex Previewed for Security Review of AI-Generated Code
Simon Willison reports strong early results using Codex to run security reviews on code produced by other AI models.
Simon Willison shared early impressions of using Codex to run automated security reviews on code written by other AI models, calling the results "very good" after several weeks of preview access.
The workflow Willison describes — using one AI system to audit code produced by another — points to an emerging quality-assurance layer for AI-assisted development. As coding assistants become standard tools in software teams, security review of AI-generated code is increasingly treated as a distinct problem: models can produce functional but vulnerable output, and catching those issues before deployment requires systematic review. Automated tooling that flags security issues at code-review time, rather than after the fact, addresses a practical need for teams shipping AI-written software at scale.