An AI coding agent can write a controller, a migration and a test in a minute. It can also invent a method that does not exist in your Laravel version, ignore how your project is structured, and tell you everything works without running anything. Getting good results is less about the agent and more about what you give it: accurate context, a way to check its own work, and limits on what it may touch. This guide covers that setup for Laravel, using Laravel Boost, the official package for this job, and a workflow that keeps you in control.

What goes wrong without setup

A general-purpose agent knows Laravel from its training data, which mixes versions. Typical results are code written for an older release, queries that ignore your actual schema, and a new style next to your existing one. It also cannot see runtime problems: the exception in your log, the table columns in your database, or what your last request returned. An agent that can read those things fixes its own mistakes.…