Build a REST API with PHP
A RESTful API with CRUD endpoints and JSON responses. Using PHP's PHP 8.2+ with Composer and MySQL support, LoomCode AI generates a production-ready rest api with clean code structure, proper state management, and a polished user interface — all from a single text description in seconds. No prior coding experience required.
Build This App NowHow to Build a REST API with PHP
Select PHP
Open LoomCode AI and choose the PHP template from the template picker.
Describe your app
Type a description of your rest api and click submit.
Preview & deploy
Watch the AI generate code and preview your working app live. Deploy with one click.
Why Build a REST API with PHP
PHP is a natural fit for building a rest api — it's the same kind of tool developers use daily. The API endpoints, database integration, and PHP 8.2 architecture make it production-ready.
What the AI Generates for This REST API
- Database storage via Composer
- Server-side rendering for fast initial page loads
- Form validation and CSRF protection
- PHP 8.2 architecture with clean MVC structure
- Code block rendering with syntax highlighting and copy buttons
- Developer-friendly interface with monospace fonts and technical formatting for rest api
Example Prompt
Copy this prompt and paste it into LoomCode AI:
What You Get
LoomCode AI generates a rest api with code rendering, syntax highlighting, and developer-oriented UI. The interface uses monospace fonts, proper technical formatting, and interactive controls. The output is properly structured PHP code using PHP 8.2, Composer, MySQL, PDO with database models, controllers, validated forms, and server-rendered views. The app runs immediately in a live sandbox — interact with it, test every feature, then iterate with follow-up prompts or deploy to a shareable URL.
Tips for Better Results
- Specify the technical features you need: "syntax highlighting for JavaScript, line numbers, copy button, dark theme code blocks"
- Include your API or data format if relevant — "accepts JSON input with fields X, Y, Z" helps the AI generate accurate interfaces
- Ask for "developer-friendly layout with monospace fonts and clear documentation sections" for a professional look
- Specify your database schema needs upfront — the AI will generate migrations and models accordingly
Tech Stack
FAQ
Can AI build a REST API with PHP?
Yes. LoomCode AI generates a complete rest api with PHP 8.2, Composer, MySQL, PDO from a text description. The AI understands code editing, syntax highlighting, API integration, and dev workflows and produces working code that runs immediately in a live sandbox. PHP's MVC architecture and database integration handle code editing, syntax highlighting, API integration, and dev workflows with server-side reliability and persistence. You can iterate with follow-up prompts to refine features or deploy with one click.
How long does it take to build a REST API with AI?
A working rest api typically generates in 30-60 seconds. The initial version includes code editing, syntax highlighting, API integration, and dev workflows with a polished UI. From there, you can add features incrementally — each follow-up prompt takes another 15-30 seconds. Most users go from idea to a deployable rest api in under 10 minutes, compared to hours or days of manual development.
Can I customize the generated REST API?
Yes, in two ways. First, use natural language follow-up prompts: "add dark mode", "change the layout to tabs", or "add a search filter" — the AI modifies the existing code. Second, copy the full source code and edit it directly. The output is standard PHP code using PHP 8.2 and Composer that works in any PHP/Laravel project.
Which AI model works best for a REST API?
For a rest api, GPT-4o offers the best speed-to-quality balance for quick iterations. Claude 3.5 Sonnet produces more polished code for complex features. DeepSeek V3 is a cost-effective alternative for simpler versions. You can switch models anytime.
Is the generated rest api production-ready?
For prototypes and MVPs, the generated rest api is typically ready to use immediately. The code includes database migrations, input validation, and CSRF protection. For production deployment at scale, you may want to add automated tests, error boundaries, and monitoring.
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