Should WordPress Developers Share Their Code With AI Tools?
AI tools such as ChatGPT, Claude, GitHub Copilot, and other coding assistants are becoming part of everyday development. For WordPress developers, they can be genuinely useful for debugging problems, understanding unfamiliar code, generating functions, improving documentation, and finding possible security issues.
But there is an important question developers should consider before copying code into any AI tool.
Should we share our WordPress code with AI?
The answer depends on what the code contains, who owns it, and how much of it actually needs to be shared.
Using AI for development is not necessarily a problem. The bigger concern is sharing more information than is required to solve the problem.
AI Can Be Useful for WordPress Development
There are plenty of good reasons to use AI while developing WordPress websites, plugins, and themes.
If you need help understanding a WordPress hook, writing a small function, debugging an error, or improving a database query, an AI coding assistant can save time.
For example, you might need a function that prevents non-administrators from accessing a particular WordPress admin page.
You can describe the requirement and ask AI to suggest an implementation. There is usually no reason to provide your entire plugin or website codebase.
This is where AI works particularly well. Give it a clear technical problem and enough context to understand that problem.
The concern starts when developers provide complete projects, private repositories, or sensitive code when only a small part of the application is relevant.
Do Not Share Passwords, API Keys or Credentials
This is one of the most important rules when using any external development tool.
Never intentionally share real passwords, API keys, database credentials, authentication tokens, or private keys.
A WordPress configuration or custom integration might contain information such as:
define('DB_PASSWORD', 'your-real-password');
$api_key = 'your-live-api-key';If the value itself is not relevant to the problem, replace it before sharing the code.
define('DB_PASSWORD', 'YOUR_PASSWORD');
$api_key = 'YOUR_API_KEY';The AI does not need your real credentials to understand how the code works.
The same applies to payment gateway keys, SMTP passwords, AWS credentials, OAuth secrets, WordPress salts, and private authentication tokens.
Be Careful With Client Code
If you work for a WordPress agency or develop websites for clients, the code you are working with may not belong to you.
A custom plugin could contain functionality that represents months or years of development.
It might include custom integrations, pricing calculations, membership rules, automation workflows, internal APIs, or other proprietary functionality.
Even if there are no passwords or personal details in the code, the implementation itself may be commercially sensitive.
Before sharing client code with an AI service, developers should understand their company’s policy and any agreement they have with the client.
If the project is covered by an NDA or confidentiality agreement, this becomes even more important.
Avoid Uploading an Entire Plugin for a Small Problem
Suppose you have a custom WordPress plugin containing thousands of lines of PHP, JavaScript, and CSS.
One function is producing an unexpected result.
Uploading the entire plugin is usually unnecessary.
Find the function responsible for the behaviour and provide only the relevant part.
For example:
function calculate_custom_price($price, $quantity) {
if ($quantity >= 10) {
return $price * 0.9;
}
return $price;
}You can then explain what you expected the function to return and what actually happened.
This gives the AI enough context to investigate the issue without exposing unrelated parts of the plugin.
It can also produce a better answer because the model has less irrelevant code to analyse.
Do Not Share Real Customer Data
WordPress websites can contain a significant amount of personal information.
WooCommerce websites may contain customer names, addresses, phone numbers, and order information. Membership websites may contain user profiles and account details. Contact forms may contain messages and other personal information.
Real customer data should not be copied into an AI prompt just because it appears in a debugging output.
Instead of sharing something like this:
$user = [
'name' => 'Real Customer Name',
'email' => 'realcustomer@example.com',
];use test data:
$user = [
'name' => 'Test User',
'email' => 'test@example.com',
];In most debugging situations, the actual identity of the customer makes no difference to the technical problem.
Business Logic Can Be Sensitive Too
Developers often think about passwords and customer information when discussing security, but business logic can also be valuable.
A custom WordPress or WooCommerce plugin may contain rules controlling discounts, subscriptions, memberships, product recommendations, user permissions, automated processes, or integrations with external platforms.
That code can reveal how a company operates.
Consider whether an AI tool actually needs to understand the entire business process to solve your problem.
Often it does not.
You can simplify the example while keeping the technical behaviour that you need help with.
Create a Small Reproduction Instead
One of the best ways to use AI for development is to create a minimal version of the problem.
Suppose a WordPress AJAX request is not working correctly.
Rather than providing your complete plugin, isolate the callback, the JavaScript request and the error message.
Explain what should happen and what is happening instead.
For example:
add_action('wp_ajax_example_action', 'example_action');
function example_action() {
check_ajax_referer('example_nonce', 'nonce');
$value = sanitize_text_field($_POST['value'] ?? '');
wp_send_json_success([
'value' => $value,
]);
}Now the AI can review the important parts of the implementation without needing access to the rest of the project.
This approach is also useful when asking questions on developer forums or sharing code with another developer.
AI Is Useful for Code Reviews, but Review the Review
AI can be useful for finding potential problems in WordPress code.
It may identify missing sanitization, incorrect escaping, missing nonce verification, inefficient queries, deprecated functions or places where additional validation would improve the implementation.
These suggestions can be valuable.
However, an AI-generated code review should not automatically be treated as proof that every reported issue is a real vulnerability.
The AI may only see one function without understanding what happened earlier in the application.
For example, it may report that a value has not been validated even though validation occurs before the function is called.
This is why every suggestion needs to be checked against the actual application flow.
There is a difference between a confirmed security problem and an opportunity to improve defensive coding.
An experienced developer should make that distinction before changing production code.
Do Not Blindly Use AI-Generated Code
Another common mistake is copying AI-generated code directly into a production WordPress website.
AI can produce code that looks perfectly reasonable while still containing mistakes.
It might use an incorrect hook, call a function that does not exist, miss a capability check, create an inefficient database query or overlook an important edge case.
Generated code should be treated the same way you would treat code written by another developer.
Read it.
Understand it.
Test it.
Check the WordPress documentation when necessary.
Test edge cases before deploying it to production.
The developer remains responsible for the final implementation.
When AI Is a Good Choice
AI can be particularly useful when the request does not require sensitive project information.
For WordPress developers, this could include generating a basic custom post type, explaining an action or filter, suggesting a regular expression, creating PHPUnit test cases, improving PHPDoc comments, explaining an error message, or reviewing a small isolated function.
You can also describe a requirement without sharing existing code.
For example:
“Create a WordPress function that registers a custom post type called Events with title, editor, and featured image support.”
The AI can generate a starting point without knowing anything about your private project.
You can then review and adapt the code yourself.
Think Before You Paste
Before sharing code with ChatGPT, Claude, or another AI coding tool, take a few seconds to look at what you are about to provide.
Check whether it contains credentials, personal information, private URLs, internal API details, or confidential business logic.
Consider whether you have permission to share the code.
Most importantly, ask whether the AI really needs all of it.
If you have a 10,000-line plugin and the problem exists inside a 30-line function, start with those 30 lines.
You can always provide additional context later if it becomes necessary.
A Sensible Approach for WordPress Developers
AI should not be treated as something developers must either completely trust or completely avoid.
It is another development tool.
Used properly, it can help WordPress developers work faster, investigate issues, and learn new approaches.
Used carelessly, it can result in unnecessary exposure of code and information.
A sensible approach is simple.
Understand what you are sharing.
Remove anything sensitive.
Share only the code needed to investigate the problem.
Use test data instead of real customer data.
Check whether client code is permitted to be shared.
Review every AI suggestion yourself.
Test generated code before using it on a live website.
The goal should not be to avoid AI.
The goal should be to use it responsibly.
Final Thoughts
AI is becoming increasingly useful in software development, and WordPress development is no exception.
ChatGPT, Claude, Copilot, and similar tools can help developers solve problems faster, but convenience should not replace good development practices.
You do not need to give an AI tool your entire codebase to get useful assistance.
In many cases, a small function, a clear explanation, and an error message are enough.
Protect client code, protect customer information, and protect credentials. Keep confidential business logic private unless you have a clear reason and permission to share it.
Then use AI for what it does well: helping you think through problems, explore solutions, and improve your development workflow.
AI can write code.
Knowing what code should and should not be shared is still the developer’s responsibility.
