Skip manual stack assembly and launch a fully integrated Laravel 13 AI development environment with Open WebUI, LiteLLM, MySQL, Redis, and more on Ubuntu 24.04.
Laravel AI Dev Workbench is a preconfigured Ubuntu 24.04 server image that gives developers, technical teams, agencies, and builders a ready-to-use environment for creating modern Laravel applications with AI tooling already installed and connected.
What You Get After Launch
Within minutes of launching an EC2 instance, you have a fully operational development environment with no manual stack assembly required:
Laravel 13 Application - A polished landing page and a built-in Workbench Assistant page inside the application, ready for customization
MySQL 8 Database - Production-grade relational database with browser-based access through Adminer
Redis - In-memory data store preconfigured for caching and queue management
Mailpit - Browser-based email preview for testing transactional emails without external mail services
Open WebUI - A browser-based AI workspace for interacting with language models
LiteLLM - AI model gateway integrated with the Laravel AI SDK for building AI-powered features
Laravel Boost - Additional tooling to accelerate Laravel application development
Automated First-Boot Provisioning
On first boot, the instance automatically handles the setup steps that typically consume developer time:
Generates customer-specific credentials unique to your instance
Writes instance-specific URLs to the login note for easy access
Prepares the Laravel application key
Runs database migrations for a clean, fresh deployment
The server is designed for public IP-based access and does not require a domain name for normal use. Every service is accessible through your browser immediately after provisioning completes.
Use Cases
Agency Client Prototyping - Development agencies can launch a new instance for each client project, quickly prototype a Laravel application with AI-powered features, and demonstrate working functionality without spending hours configuring infrastructure. The self-contained environment means each client project runs on its own isolated instance.
AI-Powered Laravel Development - Developers building SaaS products or internal tools that incorporate AI capabilities can use the preconfigured Laravel AI SDK and LiteLLM gateway to test AI integrations, evaluate prompt workflows, and iterate on AI-assisted features within a complete Laravel application context.
Rapid Development Environment Deployment - Teams that need a standardized Laravel development stack can launch identical environments on demand, eliminating configuration drift and reducing onboarding time for new team members.
No OpenAI Key Required to Get Started
You can launch the server, browse the Laravel landing page, use Adminer for database management, preview emails through Mailpit, and explore the Open WebUI interface without providing any API keys. An OpenAI API account and key are only needed when you want live AI model responses through the Workbench Assistant and AI workspace.
Included Components and Versions
Ubuntu 24.04 LTS base image
Laravel 13 with Laravel AI SDK and Laravel Boost
MySQL 8
Redis
Mailpit for email testing
Adminer for database management
Open WebUI for AI interaction
LiteLLM for AI model routing
Getting Started on AWS
Launch an EC2 instance using the Laravel AI Dev Workbench AMI
Retrieve your customer-specific credentials from the instance login note
Access the Laravel landing page, Adminer, Mailpit, and Open WebUI through your browser using the instance-specific URLs provided
Begin building your Laravel application with AI tooling already connected
Code Creator charges apply for the integrated Laravel AI development stack, automated first-boot provisioning, customer-specific credential generation, instance-specific URL configuration, Laravel application key preparation, database migration workflow, and AWS Marketplace-ready AMI engineering.
Highlights
Zero-configuration launch with automated first-boot provisioning that generates unique credentials, writes instance-specific URLs, creates the Laravel application key, and runs database migrations - so your AI development environment is ready to use as soon as the instance starts, with no manual setup or domain registration required.
AI-ready Laravel workspace combining Laravel 13, Laravel AI SDK, and Laravel Boost with Open WebUI for chat-based AI interaction and LiteLLM as a unified AI gateway - giving you a pre-wired foundation for building modern AI-powered Laravel applications without manually integrating each component.
Complete development toolchain including MySQL for data persistence, Redis for caching and queues, Adminer for visual database management, and Mailpit for local email testing - all pre-configured and accessible via public IP so you can focus on writing application code instead of provisioning infrastructure.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
You pay by the hour for the Amazon EC2 instance type you run. The software itself carries no separate license fee listed here; billing follows your chosen instance size. Options span many EC2 families, including general-purpose, compute-optimized, memory-optimized, storage-optimized, and GPU or FPGA instances. Smaller instances suit light workloads, while larger instances handle heavier compute, memory, or graphics needs. Your cost scales with the instance you select and the number of hours you keep it running. You can switch instance types to match your workload at any time.
Top-of-mind questions for buyers
What does one hourly unit represent for billing?
One unit is one hour of running a single Amazon EC2 instance of the type you select. The clock meters the time that instance stays running. Each instance type carries its own hourly rate. Running more instances or larger types raises your hourly total.
Am I charged when my EC2 instance is stopped?
Software charges accrue only while the instance runs. A fully stopped instance does not meter software hours. Underlying AWS storage fees may still apply to attached volumes, but the hourly software rate meters running time only.
How does cost differ between smaller and larger instance types?
Each instance type has its own hourly rate based on its compute, memory, storage, or GPU capacity. General-purpose and smaller types bill at lower hourly rates. Memory-optimized, storage-optimized, and GPU or FPGA types bill at higher hourly rates. You can switch types to match workload needs.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Laravel AI Dev Workbench by Code Creator is a preconfigured Ubuntu 24.04 server built for developers, technical teams, agencies, and builders who want a faster path to creating modern Laravel applications with AI ready tooling already installed.
For support inquiries related to the Laravel AI Dev Workbench, please contact Code Creator by email at info@codecreator.com.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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