Tying a WordPress site to one AI provider’s SDK makes switching painful later. This walks through an abstraction layer with per-provider adapters so you can change models without rewriting your core code.
A hardcoded AI API key in front-end JavaScript is a security hole and a performance drag. This shows how to move the calls to a WordPress server-side proxy using the REST API and wp_remote_post.
How to add AI to a WordPress site with the WordPress AI Client SDK instead of hardcoded API keys and provider-specific code. Covers setup, credentials, and generating text.
Why AI integrations in WordPress often break after launch, and how a wrapper layer, caching, and proper error handling keep them stable when the underlying APIs change.
A prep checklist for the Core AI table at WordCamp US Contributor Day: the AI Building Blocks, the main project repos, and the Slack channel, so you can build instead of getting your bearings.
Wiring an AI into WordPress through generic CRUD endpoints got confusing and risky fast. Breaking actions into separate, per-post-type abilities with clear permissions gives the AI the precision it needs.
Notes on registering custom WordPress AI abilities now that categories are required, with a CRM example and why categorizing keeps integrations manageable.
How to replace scattered current_user_can checks with real WordPress custom capabilities: register them, assign them to roles, and wrap the checks, with a CRM example.
My honest read on the WordPress AI Abilities API coming in 6.9, and why I tell clients to build on the core API instead of bolting on a beta library that breaks every update.
After watching a junior dev burn hours on Gutenberg boilerplate, I finally tried the AI tools for web development everyone talks about. The two that stuck were Copilot and Cursor.