Listing Thumbnail

    Laravel AI Dev Workbench - PHP AI Server by Code Creator

     Info
    Deployed on AWS
    AWS Free Tier
    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.

    Overview

    Laravel AI Dev Workbench by Code Creator

    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

    1. Launch an EC2 instance using the Laravel AI Dev Workbench AMI
    2. Retrieve your customer-specific credentials from the instance login note
    3. Access the Laravel landing page, Adminer, Mailpit, and Open WebUI through your browser using the instance-specific URLs provided
    4. 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.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Laravel AI Dev Workbench - PHP AI Server by Code Creator

     Info
    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.

    Usage costs (72)

     Info
    Dimension
    Cost/hour
    m3.medium
    Recommended
    $0.025
    t2.micro
    $0.025
    r3.4xlarge
    $0.025
    m4.xlarge
    $0.025
    g3.16xlarge
    $0.025
    m3.xlarge
    $0.025
    f1.16xlarge
    $0.025
    r4.4xlarge
    $0.025
    t2.large
    $0.025
    i2.xlarge
    $0.025

    AI Insights

     Info

    Dimensions summary

    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

    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.
    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.
    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.
    www.codecreator.com
    Helpful?

    Vendor refund policy

    We do not currently support refunds, but you can cancel at any time.

    Custom pricing options

    Request a private offer to receive a custom quote.

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    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.

    Resources

    Support

    Vendor support

    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.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.