AI models can generate a functional WordPress plugin in seconds, but “functional” rarely means production-ready. Out of the box, AI tools frequently ignore WordPress Coding Standards (WPCS), miss crucial data sanitization, and write monolithic spaghetti code. If left unchecked, an AI-generated plugin is a security vulnerability waiting to happen.
This session is a deep dive into the rigorous quality control workflows required when building with AI. We will cover the exact prompt engineering techniques and human-in-the-loop review processes needed to force AI models to properly implement nonces, escape outputs, and write modular PHP that passes enterprise-grade security audits. Learn how to trade boilerplate coding for high-level system architecture while keeping your AI tools firmly on the rails of WordPress best practices.
Key Takeaways:
- Identifying the most common security hallucinations and anti-patterns in AI-generated PHP.
- Prompt engineering techniques to strictly enforce WordPress data sanitization and output escaping.
- Automating WPCS compliance checks on AI-generated code.
- Building a bulletproof human-in-the-loop review process for AI output.
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