A Workday That Awakens Your Inner Child

My reflection after auditing and hardening a WordPress plugin with AI assistance.

Do you still remember the curiosity and sense of exploration you felt as a child?
When I have the freedom to work exactly on what I want, AI assistance stops feeling like an automation tool and starts feeling closer to that sense of childhood curiosity.

AI did not replace the developer inside me.
It simply created a situation where I could play with the code again.

What surprised me today

Today I spent several hours auditing a WordPress plugin for security issues.

The plugin reviewed was part of a custom WordPress ecosystem developed internally at Neobyte Solutions.

The audit focused on areas where custom WordPress plugins often hide subtle problems:

Object-level authorization checks
AJAX request handling
Template loading logic
Settings save handlers
Error exposure in responses
Upload directory protection

These are small technical details, but they often make the difference between a stable feature and a vulnerable one.

What surprised me the most was how few issues were actually found. I had expected a long list of problems that might require several days of work. Instead, the findings were limited, and fixing them carefully filled the rest of the day.

What AI helped with

AI helped structure the security review in several ways:

clarifying the task and scope
highlighting relevant code paths
pinpointing potential issues
suggesting possible fixes
helping apply patches quickly

This allowed me to move to testing faster while already thinking about the next tasks in the background.

What still required human judgment

The human role remained essential. I had to decide how the fixes should fit into the existing functionality. I also had to test the full flow of the features that were touched and confirm that everything still worked correctly after the changes.

Testing several times until the real source of a problem appears is still a normal part of the work. AI can miss small details that turn out to be essential. At one point a bug took longer to resolve simply because a button ID was missing from the markup. It was a small detail, but until it was noticed, the fix could not be completed.

Some parts of the process still depended entirely on human judgment:

deciding how each fix should fit into the existing functionality
testing the full flow of the affected features
confirming that the issues were truly fixed
spotting small missing details that could delay the final solution

Closing notes

When the tools are right, work stops feeling like execution and starts feeling like exploration, almost like returning to a favorite hobby.

The audit confirmed something simple. AI can help you see the code more clearly, but it does not replace the developer’s responsibility. It only changes the way you explore the code.