When you review AI‑generated PHP, one of the fastest ways to spot problems is to understand how PHP actually runs a file.
PHP is not a long‑running application.
It does not preload your code.
It does not “watch” your project.
It simply:
This simple model is the foundation for everything else.
PHP does not “compile” your project ahead of time.
It reads the file line by line, in order.
This means:
AI sometimes generates code that assumes a multi‑pass compiler.
PHP is not that.
When PHP encounters:
functionclasstraitinterfaceenum
…it registers the declaration
but does not run it.
Example:
echo "Start"; function greet() { echo "Hello"; } echo "End";
Output:
Start End
The function is available, but not executed until called.
This is a key part of PHP’s mental model:
When PHP hits:
include 'header.php';
…it pauses the current file, loads the included file, executes it top‑to‑bottom, then returns.
This is why AI‑generated code that scatters includes everywhere can create:
Includes are not “imports”.
They are inline execution.
With PSR‑4 autoloading, PHP no longer loads class files manually.
Instead, it loads them only when the class is first referenced.
This means:
new App\Service\UserService();
triggers the autoloader, which:
This is why modern PHP projects feel cleaner
— and why AI sometimes generates unnecessary require statements.
—
When the script finishes:
This is the opposite of long‑running systems like Node.js or Python servers.
AI often forgets this and generates patterns that assume:
Your mental model helps you spot these mismatches instantly.
PHP sends output to the browser as it is generated
— unless output buffering is enabled.
This affects:
AI sometimes mixes output and logic in ways that break buffering.
Understanding the flow helps you catch this.
If PHP encounters a fatal error:
This is why modern PHP encourages:
AI‑generated code often mixes old error patterns with new ones.
Your understanding of execution flow helps you correct it.
PHP’s execution model is:
Once you internalize this, you can immediately see when AI‑generated code violates the natural flow of the language.