AI Coding with Laravel

AI Tool Ecosystem for Laravel

Laravel has a strong AI coding ecosystem, benefiting from being the most popular PHP framework and having a vast amount of code in AI training data. AI tools understand Laravel's elegant syntax, Eloquent ORM, Blade templates, and the full ecosystem of first-party packages (Sanctum, Cashier, Scout, Horizon). The framework's expressive, convention-based approach means AI generates code that reads naturally and integrates well into existing Laravel projects. Livewire and Inertia.js are increasingly represented in AI training data, giving developers AI-assisted full-stack development options. Laravel's artisan command system, migration patterns, and service provider architecture are deeply understood by AI tools. The main challenge is that AI may generate code for older Laravel versions unless explicitly prompted with the target version.

What AI Does Well with Laravel

• Generates Eloquent models with relationships (hasMany, belongsToMany, morphTo), scopes, accessors, and mutators
• Creates Laravel migrations with proper column types, indexes, foreign key constraints, and nullable fields
• Produces Form Request classes with authorization logic and validation rules including custom rule objects
• Builds Laravel middleware for authentication, rate limiting, and request modification with proper handle() chains
• Scaffolds Livewire components with reactive properties, computed properties, and real-time validation
• Generates Laravel queued jobs with retry logic, rate limiting, middleware, and proper exception handling

Tips for AI-Assisted Laravel Development

• AI tools understand Laravel's Eloquent ORM deeply - describe relationships in natural language
• Use AI to generate Laravel migrations, models, and form requests with validation rules
• AI handles Laravel's middleware, policies, and gate authorization patterns well
• Leverage AI for generating Blade components and Livewire interactive components
• AI can generate proper Laravel queued jobs, events, and listeners

Prompting Tips for Laravel

Where AI Struggles with Laravel

• AI-generated Eloquent queries frequently miss with() eager loading, creating N+1 query performance problems
• Complex Eloquent query scopes with whereHas, when(), and subqueries are sometimes syntactically incorrect
• AI struggles with Laravel's service container bindings and service provider registration for complex dependency injection
• Livewire component code generated by AI sometimes mixes Livewire 2 and Livewire 3 syntax (wire:model vs wire:model.live)

Controller with Form Request and Resource Response

A Laravel controller demonstrating Form Request validation, Eloquent queries with eager loading, and API resources.

<?php
// app/Http/Controllers/PostController.php
namespace App\Http\Controllers;

use App\Http\Requests\StorePostRequest;
use App\Http\Resources\PostResource;
use App\Models\Post;
use Illuminate\Http\Request;

class PostController extends Controller
{
    public function index(Request $request)
    {
        $posts = Post::query()
            ->with(['author:id,name,avatar', 'tags'])
            ->when($request->search, fn($q, $s) => $q->where('title', 'like', "%{$s}%"))
            ->when($request->tag, fn($q, $t) => $q->whereHas('tags', fn($q) => $q->where('slug', $t)))
            ->published()
            ->latest()
            ->paginate(15);

        return PostResource::collection($posts);
    }

    public function store(StorePostRequest $request)
    {
        $post = $request->user()->posts()->create(
            $request->validated()
        );
        $post->tags()->sync($request->tag_ids);

        return new PostResource($post->load('author', 'tags'));
    }
}

// app/Http/Requests/StorePostRequest.php
class StorePostRequest extends FormRequest
{
    public function authorize(): bool
    {
        return $this->user()->can('create', Post::class);
    }

    public function rules(): array
    {
        return [
            'title' => ['required', 'string', 'max:200'],
            'content' => ['required', 'string', 'min:50'],
            'tag_ids' => ['array', 'max:5'],
            'tag_ids.*' => ['exists:tags,id'],
        ];
    }
}

Common Use Cases

• Full-stack web applications
• REST API backends
• Content management systems
• E-commerce with Laravel Cashier

Common Patterns AI Generates Well

• Eloquent models with relationships, scopes, accessors, and casts for domain modeling
• Form Request classes with authorize() and rules() for controller validation separation
• API Resources for transforming Eloquent models into consistent JSON response structures
• Middleware for authentication, rate limiting, and request/response modification
• Queued jobs with retry_after, backoff, and failed() method for reliable background processing
• Events and listeners for decoupled side effects like email notifications and audit logging

Best Practices

Follow Laravel conventions for directory structure and naming. AI tools understand Laravel's service container and dependency injection. Use form request classes for validation. AI generates excellent Eloquent queries but review eager loading. For modern Laravel, use Livewire patterns which AI tools increasingly understand.

Setting Up Your AI Environment

Install Laravel IDE Helper to generate PHPDoc annotations for models, facades, and the service container - this dramatically improves AI tool suggestions. Use PHP 8.2+ with typed properties and enums. Add a project context file listing your Laravel version, frontend approach (Livewire, Inertia, Blade), key packages (Sanctum, Cashier, Scout), and database driver so AI generates compatible code.

Recommended Tools for Laravel

The following AI coding tools offer the best support for Laravel development:

• Cursor - AI-first code editor built as a fork of VS Code with deep AI integration for code generation, editing, and chat.
• GitHub Copilot - AI pair programmer by GitHub and Microsoft that provides code suggestions, chat, and autonomous coding agents directly in your editor.
• Claude Code - Anthropic's agentic CLI coding tool that operates directly in your terminal, capable of editing files, running commands, and managing entire coding workflows.
• Cody - AI coding assistant by Sourcegraph that leverages deep codebase understanding and code search to provide context-aware assistance.

FAQ