How I Built an AI Debugging Tool for Laravel

Every Laravel developer has stared at a cryptic error message, googled it, tried three solutions, and finally found the answer on page 4 of a Stack Overflow thread. I got tired of this pattern and built laravel-ai-debugger.

The Problem

Laravel errors often come with context that's hard to parse:

TypeError: Illuminate\Database\Eloquent\Collection::toArray(): 
Argument #1 ($callback) must be of type ?Closure, array given

The error alone doesn't tell you where in your code the issue originates, or why you're passing the wrong type. You need to trace back through your code to find the root cause.

The Solution

laravel-ai-debugger hooks into Laravel's exception handler and provides:

// Install and configure
composer require dakshraman/laravel-ai-debugger
php artisan vendor:publish --provider="Dakshraman\AiDebugger\AiDebuggerServiceProvider"

How It Works Under the Hood

The tool uses a pipeline approach:

class DebuggerPipeline
{
    public function handle($exception, Closure $next)
    {
        $context = $this->analyzer->analyze($exception);
        $suggestion = $this->matcher->findSolution($context);
        
        if ($suggestion) {
            $this->output->suggest($suggestion);
        }
        
        return $next($exception);
    }
}

The analyzer reads the stack trace, identifies the file and line number, and pulls in surrounding code context. The matcher then compares this against a database of known Laravel patterns.

Lessons Learned

Results

Since launching, laravel-ai-debugger has:

The project is open source and contributions are welcome. Check it out on GitHub.