Course · Advanced Trending

AI Coding Agents for WordPress: Claude Code, Cursor & Claude Cowork Developer Workflow

Set up a disposable local environment, connect Claude Code, Cursor, and Claude Cowork correctly, guardrail what they're allowed to write, and build a repeatable, reviewed workflow for full-site generation instead of trusting AI-generated PHP by default.

9 lessons
Start course →

Every other course in this track is about WordPress exposing what it can do to an AI agent, an ability, an MCP server, a permission check. This course flips the relationship: it’s about using an AI coding agent to write the WordPress code in the first place, the plugin file, the block theme, the custom post type registration. That’s a genuinely different concern from WordPress AI Foundations and the courses that build on it, and it comes with its own failure modes: hallucinated hooks, unreviewed security shortcuts, and an agent that’s happy to generate an entire theme in thirty seconds whether or not that theme escapes its output correctly.

If you haven’t taken WordPress AI Foundations, read at least its first few lessons before this one. You don’t need the Abilities API or MCP Adapter for anything here, but understanding why WordPress treats “a thing that can act on this site” as something to be described, permissioned, and audited will make the guardrails in this course feel like the same discipline applied one layer earlier, at the point code gets written rather than the point it gets called.

This course assumes you’re comfortable with WordPress plugin and theme development already and that you’ve used at least one AI coding agent, Claude Code, Cursor, or similar, even informally. What it adds is structure: a local environment you can throw away without consequence, real MCP and connector configuration for three different agents, a working understanding of why these agents invent plausible-sounding WordPress functions that don’t exist, and a set of guardrails, skills, slash commands, and review checklists, that make full-site generation something you can trust rather than something you have to double-check line by line every time.

None of this replaces debugging skill. When an AI agent’s generated code breaks in a way you can’t immediately explain, that’s exactly the situation Debugging & Troubleshooting the MCP Adapter was written for, and the diagnostic habits it teaches apply just as well to a broken AI-generated plugin as to a misbehaving MCP server. Treat that course as the natural next stop once something here breaks in production.