The original title is: "Why LLMs Write Insecure WordPress Code — and the Architecture We Built to Fix It."

Short summary

General-purpose LLMs generate insecure WordPress code because they predict tokens based on training data containing both good and bad practices—security constraints are just optional patterns. The solution isn't a better model; it's architecture. A three-tier agentic system: first agent converts requirements to a security-aware JSON manifest; second agent generates code with modular file structure; third agent audits against invariants like mandatory nonce verification and input sanitization. Nothing ships until audit passes.

• •LLMs generate insecure WordPress code due to statistical prediction over diverse training data
• •Three-tier agentic pipeline enforces security as a planning and audit requirement, not a suggestion
• •Architecture pattern: manifest planning → modular code generation → deterministic security auditing

Generated with AI, which can make mistakes.