Accelerating Laravel API Development with AI: From Specification to Testing

Accelerating Laravel API Development with AI: From Specification to Testing

1h 10mIntermediate2025-06-09

Authors

Gary Kovar

Gary Kovar

Senior Back-End Developer and Software Engineer

Course details

In this course, Gary Kovar—a senior back-end developer and software engineer—uses Laravel API development to show you how to transform your projects with the power of Generative AI. Step through the process of converting API specifications into a fully functional Laravel application, as you learn to integrate tools like GitHub Copilot for code completion and error detection. Discover efficient ways to write automated tests, refactor your code, and ensure that your APIs are robust and regression-free. Explore essential Laravel features, such as Eloquent ORM, middleware, and validation, along with practical strategies for versioning and deployment. Whether you already manage a REST API or are planning on building one this course offers you the tools and insights to elevate your Laravel projects.

Learning objectives
Understand why Laravel is a great choice for REST API.
Utilize Github Copilot to create models, routes, and controllers.
Justify the use of or avoidance of GenAI for different parts of a project.
Code faster with the help of GenAI.

Skills covered

LaravelAPIsBack-End Web DevelopmentProgramming FoundationsArtificial Intelligence FoundationsFull-Stack Web DevelopmentArtificial Intelligence (AI)Web DevelopmentOpen SourceSoftware DevelopmentOne-Off

Concepts

Introduction

  • Introduction to accelerating Laravel API development
  • What you should know
  • Using GitHub Codespaces

Getting Started

  • Laravel for REST APIs
  • Automated testing in Laravel
  • Generative AI overview
  • Setting up your IDE for AI

Generating Laravel Code from an API Spec

  • Understanding API specifications
  • Generating models with AI
  • Scaffolding controllers and routes
  • Validating generated code

Enhancing and Customizing Generated Code

  • Best practices for refactoring AI-generated code
  • Adding business logic (middleware)
  • Debugging AI-generated code
  • Using AI for documentation

Automated Testing in Laravel

  • Get started with automated testing in Laravel
  • Generating tests with AI
  • Writing integration and feature tests
  • Ensuring test coverage is sufficient

Go Live

  • Preparing for production
  • Iteration in a live application
  • Leveraging AI for maintenance tasks
  • Public documentation generator

Conclusion

  • Next steps
40,000 Toman