Why AI-Generated WordPress Code Is Often Insecure and How to Fix It

General-purpose large language models frequently produce insecure WordPress plugin code because they are trained on vast internet text that includes outdated and vulnerable snippets from sources like early StackOverflow tutorials. These models predict statistically likely code rather than reasoning about security best practices, making them prone to skipping critical checks such as input sanitization, nonce verification, and user authorization. In WordPress specifically, a single missing security check can expose REST endpoints or AJAX handlers to unauthenticated users, making the consequences far more severe than in typical application code. To address this, developers built a multi-step agentic pipeline where specialized agents plan, generate, and audit code in sequence, treating security functions as mandatory requirements rather than optional additions. The approach replaces single-call text generation with a structured system designed to enforce non-negotiable security rules before code ever reaches a developer.