AI Tools for PHP Development: 2024 Overview

Online Python Trainer for Beginners

Learn Python easily without overwhelming theory. Solve practical tasks with automatic checking, get hints in Russian, and write code directly in your browser — no installation required.

Start Course

How Artificial Intelligence is Changing PHP Development



The world of web development is changing rapidly, and PHP — one of the most popular languages for backend development — is not staying on the sidelines of the artificial intelligence revolution. Modern AI tools are capable not only of generating boilerplate code but also of analyzing architecture, suggesting refactoring, and even writing unit tests. In this article, we will look at the best solutions that help PHP developers work faster and more efficiently.



Top 5 AI Tools for PHP



We have selected five of the most useful tools that can be integrated into the workflow today. They all support PHP and are actively being developed.



  • GitHub Copilot — the market leader. Based on code context, it suggests entire functions, classes, and methods. It understands Laravel, Symfony, and popular design patterns perfectly. Supports autocompletion in PhpStorm and VS Code.
  • Tabnine — an alternative to Copilot with a focus on privacy. Works locally (a cloud version is available). Trained on PHP repositories, it handles DocBlock comments and generation of PSR-compliant code well.
  • Codeium — a free tool for individual developers. Fast autocompletion, code search, and a chat assistant. Supports all major IDEs and does not require a subscription for single users.
  • Amazon CodeWhisperer — a powerful service from AWS. Especially useful if your project uses Amazon cloud services. It can generate code for working with S3, DynamoDB, and other services from PHP scripts.
  • PhpStorm AI Assistant — a built-in assistant in the IDE from JetBrains. Works based on OpenAI and local models. Helps refactor legacy code, write PHPDoc, and explain complex sections.


How AI Helps in Real Tasks



Let's look at specific scenarios where AI tools show the best results:



  • Code Autocompletion — speeds up writing controllers, models, and migrations by 30–50%. Copilot and Tabnine predict the next lines based on data types and method names.
  • Test Generation — Codeium and PhpStorm AI Assistant can create PHPUnit tests for existing classes, covering main cases and edge cases.
  • Refactoring — assistants suggest replacing outdated constructs (e.g., mysql_* with PDO), optimizing queries, and improving code readability.
  • Working with APIs — generating clients for REST and GraphQL, automatic error handling, and validation of incoming data.


Drawbacks and Limitations



Despite the obvious advantages, it is important to remember the limitations. AI tools can generate code with vulnerabilities (SQL injections, XSS) if the correct context is not provided. They also do not always correctly handle specific business logic and complex database queries. It is recommended to always check the generated code manually and use a static analyzer (e.g., PHPStan).



Conclusion



AI tools for PHP development are not a replacement for the programmer, but a powerful assistant that takes over routine tasks. Start with free solutions (Codeium, Php

Recommended Libraries