Hands-on Laravel tutorials that build something complete — a chatbot, a streaming interface, a search implementation — with production-grade code you can adapt directly into your own application. No toy examples, no setup-and-stop.
Each tutorial is self-contained but connects to the broader architecture and foundations content across the site.
If the Guides section is where you learn the decision, this is where you see it built
SQL LIKE queries collapse under load — they can’t handle typos, don’t understand relevance, and punish your database on every keystroke. This guide shows you how to implement blazing-fast, typo-tolerant instant search in Laravel 11/12 using Laravel Scout and Meilisearch, from Docker setup through production deployment.
Instant Search in Laravel: Implementing Laravel Scout and Meilisearch Read More »
LLM outputs are probabilistic by nature — they hallucinate field names, drop required keys, and produce structurally valid JSON that still violates your business rules. This guide shows you how to architect schema-gated Laravel pipelines that enforce machine-verifiable contracts at every agent boundary, turning unreliable model output into production-grade workflow execution.
Hardening Laravel Agentic Workflows: Schema Validation Against LLM Hallucinations Read More »
Poorly designed test factories are one of the most common causes of brittle Laravel test suites — schemas change, fake data collides, and your CI pipeline becomes a liability. This guide shows you how to design factories that model real domain state, scale with your application, and keep your test suite fast and deterministic.
Building Robust Laravel Test Factories for Reliable Automated Testing Read More »
Stop letting your AI API costs spiral out of control. Learn how to architect a production-ready Laravel Middleware that tracks token usage per user, implements tiered rate limiting, and logs costs asynchronously without slowing down your application.
Laravel AI Middleware: Token Tracking & Rate Limiting Read More »
AI coding agents write bad Laravel code not because they lack capability, but because they lack context — they cannot see your schema, your routes, or your installed package versions. Laravel Boost is the official MCP server from the Laravel team that closes that gap, giving agents live, structured access to your running application.
Integrating Laravel Boost into Your Development Workflow Read More »
Most Laravel + OpenAI tutorials get you to “hello world” and leave you holding a brittle controller with vendor logic baked in. This guide builds a production-ready OpenAI integration from scratch — proper service boundaries, real error handling, cost tracking, streaming that actually streams, and an architecture you can still understand six months from now.
Laravel OpenAI Integration: The Complete Production Guide Read More »
Most Laravel–Claude tutorials stop at a working Http::post() call and call it done. This guide takes you from raw API authentication through service architecture, token accounting, streaming, background jobs, and production-grade caching — the decisions that actually matter when AI becomes a dependency.
Laravel Claude API Integration: The Complete Production Guide Read More »
Most developers assume real-time AI chat requires a JavaScript framework. This tutorial proves otherwise — building a fully functional Claude-powered chat interface using only Laravel Livewire, with database-backed conversation memory and zero client-side state management.
Laravel Livewire Claude API: Real-Time AI Chat Without JavaScript Frameworks Read More »
Most Laravel AI tutorials hand you a blocking Http::post() call and a Blade view that spins for five seconds — that is not a chatbot, it is a loading screen. This guide builds a production-ready Claude-powered chatbot with real SSE streaming, database-backed conversation memory, and a properly wired Service Container binding that holds up under real concurrency.
Most Laravel AI chatbot tutorials hand you a working Http::post() call and leave the hard part — conversation memory — as an exercise for the reader. This guide builds a production-ready Claude chatbot in Laravel 11/12 with Eloquent-backed message history, token-aware pruning, a dedicated Service class, and retry logic that actually holds up under load.
Building a Laravel Claude Chatbot With Conversation Memory Read More »
Most Laravel applications query for exact records. Semantic AI features require something fundamentally different — the ability to query for meaning. This guide shows you how to implement embeddings, configure pgvector with Laravel 11/12, and wire up a full RAG pipeline that holds up in production.
Laravel Embeddings, Vector Databases, and RAG: A Production Implementation Guide Read More »
Most Laravel developers treat AI API calls like HTTP requests — fire and forget. This guide exposes what actually happens at inference time, and shows you how to architect temperature, top-p, token limits, and output validation directly into your Laravel service layer before you ship a single AI feature to production.
Most Laravel AI tutorials hand you a .env file and stop there — leaving you to discover PHP version mismatches, missing queue workers, and broken deployments the hard way. This guide builds a production-parity Laravel AI development stack from scratch, covering Laravel Herd, service architecture, async job queues, and Forge deployment in a single, opinionated walkthrough.
Setting Up a Laravel AI Development Stack in 2026 Read More »
