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7 smart ways to use AI in WordPress development


Artificial Intelligence (AI) tools like ChatGPT, Claude, and Cursor are quietly becoming part of the daily toolkit for WordPress developers. Whether you’re building custom plugins, working with Gutenberg blocks, or automating tasks with WP-CLI, AI can help you write, debug, and refactor code faster without sacrificing quality.

This guide walks you through seven practical ways developers use AI to streamline real WordPress workflows.

Let’s get into them.

1. Writing and debugging custom plugin code

One of the most obvious (and powerful) ways to use AI as a WordPress developer is to write and troubleshoot custom plugin code.

Whether you’re building something from scratch or dealing with a client’s legacy plugin that’s throwing fatal errors, tools like ChatGPT and Claude can seriously speed up your workflow.

Building a plugin boilerplate from scratch

You can use AI to scaffold the entire structure of a plugin, including the header, hooks, and file organization. Instead of reaching for that one old plugin you always copy-paste from, just describe what you want.

Here is an example prompt:

Create a WordPress plugin that registers a custom post type called "Event. "It should support title, editor, and thumbnail and have custom meta fields for date and location. Include code to register these meta fields using the REST API.

Claude does not just dump raw code. It gives:

  • A full plugin scaffold, object-oriented and nicely structured.
  • Inline comments throughout the code explaining each part.
  • Proper indentation and spacing (you’d think that’s a given, but it’s not with all tools).
  • REST-ready meta fields registered via register_post_meta().
  • An admin UI with a meta box to capture the event date and location.
  • And lots more.
Output generated by Claude.

Debugging plugin errors

If you’re staring at a white screen or a fatal error from someone else’s plugin, AI can help you identify the problem quickly. ChatGPT (especially GPT-4) is good at explaining stack traces and spotting missing function calls, typos, or deprecated functions.

Here is an example prompt given to ChatGPT:

Here's an error I'm getting in a custom plugin: 
"Uncaught Error: Call to undefined function get_field() in /wp-content/plugins/my-plugin/plugin.php on line 42"
What's wrong and how can I fix it?

And ChatGPT nailed it:

  • It correctly identified that get_field() is an Advanced Custom Fields (ACF) function.
  • It listed all the common reasons for this error.
  • It even suggested best practices like wrapping the function in a hook, like init or wp, and checking function_exists() before calling it.
Output generated by ChatGPT.
Example output generated by ChatGPT in a conversational interface.

You can even paste entire plugin files into tools like Cursor and ask it to “audit the code for WordPress best practices,” or “rewrite this to follow modern PHP and WP coding standards.”

Modifying existing plugin functionality

Let’s say you’re handed a plugin that does 80% of what you need, but that last 20% matters. Maybe you need to tweak some output, hook into a form submission, or make it multisite-compatible.

Instead of digging through the codebase manually, you can use AI tools like Cursor or GitHub Copilot right inside your editor to make changes faster and safer. For example, this kind of prompt could help:

This plugin creates a custom post type for “Testimonials” and displays them using a shortcode. Modify it to also output the testimonial author’s name in bold below the content. Here’s the shortcode output function:
[...paste function...]

Or something like:

Update this plugin so that it doesn’t run on multisite installations. If it is a multisite, show an admin notice and deactivate the plugin.

AI will then:

  • Locate the exact function or hook in the file (even if you’re not sure).
  • Suggests the smallest change needed, rather than rewriting the whole thing.
  • Keep the logic scoped to the plugin’s structure (especially if you’re using Cursor and it’s reading the entire codebase).
  • If needed, it’ll add safety checks, like is_multisite() or function_exists().

It might even ask, “Do you want the author name to be optional? Should it come from post meta or a shortcode attribute?” — a good sign that it’s “thinking” in developer terms.

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