Artificial intelligence is transforming WordPress development, and one of the most promising tools in this space is Cursor AI. This post explores its capabilities, specifically in building custom WordPress blocks with and without context, to assess its effectiveness in streamlining development workflows.
Why Choose Cursor AI?
Cursor AI has been gaining popularity within the development community. Initially perceived as just another code editor, its potential became evident after insights shared by experts like Nick Diego on the WordPress.com YouTube channel. The ability to implement cursor rules and provide contextual guidance for AI-generated code makes it a valuable tool for developers.
In the fast-paced world of web development, it is easy to rely on familiar tools. However, exploring new technologies can unlock efficiencies. Transitioning from traditional editors like VSCode to Cursor AI offers a fresh perspective on AI-assisted coding. That said, reviewing AI-generated code for quality, security, and maintainability remains essential.
Creating a Custom WordPress Block
For this experiment, a custom WordPress block was created to allow users to insert SVG icons, enhancing the default Twenty Twenty-Five theme’s functionality. While an image block could be used, a dedicated icon block provides more flexibility and reusability.
Initial AI-Generated Results Without Context
Generating a custom block without any context in Cursor AI led to several issues:
- Block files were placed in incorrect folders.
- The essential
package.jsonfile was missing. - Files were not structured correctly as a plugin.
While the block’s JSON structure included attributes for icon color and size, the index.js file lacked clarity, and the source of the WordPress icons remained unclear. Without proper instructions, the AI-generated output was functional but lacked structure, making it challenging for those unfamiliar with custom block development to refine the results.
Improving AI Output with Context
To achieve better results, proper guidelines were provided. The incorrect files were removed, and structured context was introduced before regenerating the custom block.
Leveraging Cursor Rules
Cursor rules help AI understand application-specific requirements, leading to improved code generation. These rules can be pre-defined or custom-created. A .cursorrules file was added to the root folder, guiding the AI on best practices for WordPress plugin development.
Setting Up the Development Environment
Before requesting the AI to regenerate the block, the plugin structure was correctly set up:
- Checked Node Version: Using Node Version Manager (nvm), the latest recommended version (20.10) for block development was selected.
- Used Create-Block Package: Running
npx @wordpress/create-block, the project was scaffolded with the namecustom-icon-block.
This structured setup served as the foundation for AI-generated improvements.
Generating the Custom Block with Detailed Context
With the plugin structure prepared, additional context was provided by uploading the project folder to Cursor AI. A precise prompt was given: “Create a WordPress block that allows users to select icons dynamically, following best practices. The block should be extendable, supporting new icons over time. It must use SVG icons and include alignment, color, and dimension settings.”
Cursor AI then modified the project files in a Git-like format, displaying additions and deletions for easy review.
Reviewing AI-Generated Code
The AI-generated updates significantly improved the project’s structure:
block.jsonwas updated to include proper attributes for icon selection, spacing, and colors.edit.jsimported essential WordPress components and added block controls for alignment.- A
selectcontrol was introduced for dynamic icon selection. - A new
icons.jsfile was generated to define SVG icons, making the block more flexible.
These improvements aligned with best practices, demonstrating the importance of providing AI with structured guidance. The updated files were reviewed, accepted, and prepared for testing.
Testing AI-Generated Code
After running npm start to compile the files, the plugin was activated in the WordPress dashboard. The custom icon block loaded correctly, displaying predefined icons from icons.js. Adjustments such as color changes and alignment worked seamlessly. The default blue background from the create-block package was removed via a quick CSS update, finalizing the block’s design.
Expanding the Icon Library
To further test AI’s capabilities, a request was made to add a location icon. Cursor AI quickly updated icons.js, and upon refreshing, the new icon appeared as expected.
Key Takeaways on AI in WordPress Development
This experiment highlights the advantages of using AI with structured input:
- Without context, AI-generated code is often basic and lacks structure.
- With context, AI produces well-organized, maintainable, and scalable code.
- Predefined tools, such as the
create-blockpackage, help AI enhance existing code efficiently.
AI functions best as a collaborative tool rather than a replacement. While it improves productivity, critical review remains crucial to ensure security, performance, and adherence to best practices.
Frequently Asked Questions
Can Cursor AI fully replace a developer?
No, Cursor AI is a powerful assistant but requires human oversight for quality control.
Is coding experience required to use Cursor AI?
While some experience is beneficial, the tool is accessible for developers of all levels.
What are Cursor rules, and why are they important?
Cursor rules provide structured guidelines, improving AI-generated code quality and relevance.
Is AI-generated code secure and maintainable?
Security and maintainability depend on code review and adherence to best practices.
How to get started with Cursor AI?
Visit the official Cursor AI website, set up the development environment, and experiment with different prompts to explore its capabilities.
Conclusion
Cursor AI presents a significant opportunity for improving WordPress development efficiency. With structured input and best practices in place, AI-generated code becomes more reliable and scalable. Developers looking to enhance their workflow should explore Cursor AI to experience its potential firsthand.
