Aditya Prakash is the founder and CEO of SKIDOS, an award-winning edtech company based in Copenhagen, Denmark, that blends education and gaming to help children unlock their full potential. With a strong background in startups, strategic growth, and product innovation, Aditya has led SKIDOS to develop…
How to Troubleshoot & Debug WordPress Code With AI — Speckyboy
You can write custom code to make WordPress do all manner of things. Whether creating custom plugins or tweaking your theme’s layout, there’s a way to make it happen. As they say, code is poetry.
Writing code is full of ups and downs, though. You may have the perfect idea for achieving a goal – if only for that nasty bug you can’t resolve. Just think of how many hours we’ve spent debugging. They account for many long days and nights. Full disclosure: I still feel the effects of such trauma.
Thankfully, troubleshooting code is a strength of artificial intelligence (AI). These tools are skilled at understanding syntax and have in-depth knowledge of WordPress. Combine those ingredients, and you have a solution to most (if not all) coding issues.
In my case, ChatGPT has saved me hours, not to mention a whole lot of stress. I’ve also learned a few tricks for getting the best results and want to share them with you. They’ll help you get the most out of troubleshooting with AI.
Here we go!
Aim for simplicity when troubleshooting code. This applies to using AI as much as reviewing with your own eyes.
The first step is to identify the issue you’re having. You don’t need to know the cause (that’s what AI is for). But it helps if you can determine the following:
- The code snippet causing issues;
- Any error messages generated by your code;
- What you’re trying to achieve (what the code should do);
- Your web server’s configuration and version of PHP;
Start your debugging journey by sharing the offending code snippet with your AI tool of choice. This may be all the tool needs to do its job. Issues like syntax errors can be found quickly.
The other details above are also helpful. Share any errors, your server configuration, and the expected behavior. This provides more context when all else fails.
Example Prompt:
I'm having trouble with the following code snippet on my WordPress website:
<?php echo( the_tietle() ); ?>
It's supposed to display the title of the current page.
I received the following error:
Function the_tietle() not found.
I have an Apache server running PHP 8.2. What's wrong with my code?
Upload Files for a Full Code Review
Tools like ChatGPT can work with more than code snippets. You can also upload files for further analysis.
This is handy if you’re unsure where an issue is coming from or want a full code review. For example, you might want to check if the code’s output is sanitized. AI can look through the file and inform you of any issues.
But that’s not all. Some tools will troubleshoot multiple files simultaneously. That allows you to upload a ZIP archive containing files and a nested folder structure.
The response may take a little longer. But it’s still more convenient than copying and pasting into the tool’s UI.
Troubleshoot One Issue at a Time
You could ask ChatGPT or a tool like Plugin Check to point out all the errors in your code. It’s nice to get an overview of what’s happening. But don’t let it go to your head.
AI may or may not be confused by code with multiple issues. Humans generally are, though. Thus, it makes sense to work on one problem at a time.
There are advantages to taking it slowly. You’ll achieve better results and get a good mental exercise. It reminds us to focus on the current task instead of scattering our attention in too many places.
A measured approach takes some of the stress out of the process. Another bonus: It keeps your AI chat threads nicely organized. That’s helpful when you want to reference it later.
Read the AI Tool’s Response Carefully
It’s tempting to copy and paste AI-generated code without a second thought. It’s not much different from the snippets on Stack Overflow or similar communities. It must work, right?
It’s more complicated than that. Some coding issues are cut-and-dry. Syntax errors, once fixed, don’t require further attention. That’s more of an exception than a rule, though.
AI tools attempt to explain why our code isn’t working. They also point out other possible solutions. Like humans, their initial diagnosis may not be correct.
Pay close attention to these responses. For one, it’s an opportunity to learn the reason behind the problem. It may also save you from using code that doesn’t work.
AI will sometimes take your prompt out of context. And what if you misspoke? The tool’s response may do more harm than good.
So, slow down. Read the explanation and review the code. At worst, you’ll have a little more peace of mind.
And please remember to back up your work before changing your code. You never know!
A Helping Hand for Debugging
Every developer gets stumped by a buggy piece of code at some point. Previously, that meant wasting hours (if not days) attempting to fix it. Meanwhile, progress on your to-do list came to a halt.
That no longer has to be the case. Your favorite AI tool can detect the source of coding issues and help you repair them. It saves you untold time and keeps you on task.
The technology isn’t perfect. However, the tips above can help you navigate AI’s quirks while getting your code running.
The result is happier debugging.
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