AI, WordPress ·
Is AI-Generated Code Safe for Your Website?
By Manu Mathew, Technical Lead Engineer · Published 22 October 2026 · Last updated 22 October 2026
You asked for a small change to your website: a new form, a custom field, a tweak to how products are listed. It arrived quickly, and you later learn that most of it was written by an AI assistant. It works, but you wonder whether AI-generated code is safe to run on a site that takes enquiries or payments.
That is a fair question, and the honest answer is “it depends on what happened after the code was generated”. This post explains what tends to go wrong, the checks that matter, and what you can reasonably ask of anyone who works on your site.
Quick answer
AI-generated code can be safe on a website, but only after a person has reviewed it. Before it goes live, check that it handles user input safely, respects user permissions, uses only real and maintained packages, keeps secrets out of the code, and has been tested on a staging copy with a way to roll back.
Is AI-generated code safe to use on a website?
It can be, as long as it is treated as a first draft and reviewed with the same care as code from a new team member.
AI coding assistants are good at producing code that runs. They are less reliable at producing code that is safe in your particular set-up, because they can’t see your server, your users or your business rules. Working code and safe code are not the same thing.
I use AI-assisted development in my own work, and I find it useful. The habit that keeps it useful is simple: nothing goes live just because a tool produced it confidently.
What tends to go wrong with AI-written code?
Most problems come from missing checks rather than obviously broken code, which is why they are easy to miss.
The issues I look for most often are:
- Unsafe handling of input. Form data, web addresses and database values used without validation or escaping, which can open the door to cross-site scripting or SQL injection.
- Missing permission checks. A settings change or delete action that works for any logged-in user, or for anyone who knows the right web address.
- Packages that don’t exist. Assistants sometimes suggest add-on packages with invented names. Security researchers have shown this happens across many models, and attackers can publish harmful packages under those names.
- Outdated patterns. Code based on older examples, using functions that are deprecated or no longer recommended.
- Secrets in the code. API keys or passwords written straight into a file that ends up in a repository or a shared folder.
- Code that ignores the platform. Custom code that rebuilds something WordPress already provides, often less safely.
The OWASP guidance on improper output handling describes this risk for AI-generated code directly, and recommends thorough code review and checking every suggested package.
Which checks should AI-generated code pass before it goes live?
The same checks any code should pass, with extra attention on input, permissions and dependencies.
| Check | What to look for | Why it matters |
|---|---|---|
| Input and output | Data validated on the way in, escaped on the way out | Stops injected scripts and queries |
| Permissions | Each action checks who is allowed to do it | Stops visitors changing what they shouldn’t |
| Dependencies | Every package exists, is maintained and is needed | Avoids fake or abandoned packages |
| Secrets | No keys or passwords written into the code | Keeps access details private |
| Testing | Tried on a staging copy with realistic data | Finds problems before customers do |
| Rollback | A backup and a clear way back | Limits the damage if something slips through |
For WordPress work, the official WordPress security guidance for developers sums up the core rules well: don’t trust any data, rely on the WordPress functions built for validating and sanitising it, and escape output as late as possible. AI-generated code should meet that standard like any other code.
Does it matter if your developer uses AI?
Not in itself; what matters is whether the code is reviewed, tested and understood by the person who delivers it.
A developer who uses AI tools and checks the output carefully can work well and quickly. A developer who pastes in whatever a tool suggests, without reading it, is a risk whether they use AI or copy from somewhere else.
Questions worth asking anyone who works on your site:
- Do you use AI tools on client code, and which ones? A straight answer is a good sign.
- Who reviews the code before it goes live? Someone should read every line, not just check that the page loads.
- Where is it tested first? A staging copy, not the live site.
- Does any of our data or code leave our systems? You should know what is shared with an AI service.
- Can you explain what this code does? If the person delivering it can’t, it isn’t ready.
If you’re curious how far these tools go on a whole site, I covered that in can AI build a WordPress website.
How do I review AI-assisted code on client work?
I treat AI output as a draft, keep each change small, and only ship what I can explain line by line.
My usual steps:
- Agree the rules first. I ask whether AI tools are allowed on the project and which ones. If the answer is no, I work without them.
- Share as little as possible. No passwords, customer data or private keys go into a prompt. Small, cleaned excerpts are enough for most questions.
- Read every line. I check input handling, permissions and error paths myself, and compare the approach with the official documentation.
- Check every dependency. Each suggested package is confirmed to exist, to be maintained and to be genuinely needed.
- Test on staging. The change is tried on a copy of the site, including the unhappy paths: empty forms, wrong data, a user without permission.
- Release with a way back. A backup is taken, the release is small, and I tell the client what changed in plain language.
None of this is special to AI. It is the same code review habit I use at work, applied a little more strictly because the first draft came from a tool that can sound sure while being wrong.
Frequently asked questions
Can I paste AI-generated code into my WordPress site myself?
You can, but it is risky on a live site. Code added to a theme or a snippets plugin runs with full access to your site, so a mistake can break pages or open a security hole. Test it on a staging copy first, and ask someone who can read the code to check it.
Is AI-generated code less secure than code written by a person?
Not automatically. Both can contain mistakes, but AI tools tend to repeat common insecure patterns and can suggest packages that don’t exist. The difference is mostly in the review: code that has been read, tested and understood by a person is far safer, whoever wrote the first draft.
Who is responsible if AI-written code causes a problem?
The person or team who chose to put it on the site. An AI tool doesn’t take responsibility for its suggestions, so the developer delivering the work should stand behind every line. Agree in writing who reviews, tests and supports changes before work starts.
Should AI-generated code be marked or documented?
It helps to note where AI tools were used, but the more useful record is what the code does and how it was tested. A short note in the change history, explaining the purpose and the checks made, makes later maintenance much easier for whoever works on the site next.
Can AI tools review code as well as write it?
They can point out likely issues, such as missing escaping or unused variables, and that can be a useful extra pass. They can also miss problems or flag things that are fine. Treat an AI review as a second opinion that a person still confirms, not as approval.
Want a second pair of eyes on your website’s code?
Whether you need a new feature, help with code someone else wrote, or a check on changes made with AI tools, I’m happy to talk it through. The WordPress websites page covers the kinds of work I take on.
You can reach me through the contact section or email me at manu@manu.co.in. Tell me a little about your business and the site, and we’ll go from there.