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    Multi-Agent Dev Sandbox - AI Coding Environment

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    Deployed on AWS
    Pre-configured EC2 with AI coding agents, MCP servers, and AWS Agent Plugins. VS Code Server on port 8080. Bring your own API keys.

    Overview

    IMPORTANT - Third-Party Software: This product provides a pre-configured development environment with open-source tooling. It does NOT include or redistribute any proprietary AI agent software.

    On first launch, the setup wizard (~/first-boot-setup.sh) offers to download and install the following third-party tools directly from their official sources on your behalf:

    • Claude Code (from Anthropic via npm) - requires your own Anthropic API key or compatible subscription
    • Kiro CLI (from Amazon via official installer) - requires your own Kiro subscription
    • GitHub Copilot CLI (from GitHub via gh extension) - requires your own GitHub Copilot subscription

    These tools are downloaded directly from their respective vendors at launch time. They are NOT pre-installed, bundled, or modified in this AMI. You are responsible for complying with each vendor terms of service.

    This product charges a software fee for the pre-configured environment, automation, and open-source integrations only.

    Pre-installed open-source components:

    • VS Code Server (code-server) - browser-based IDE on port 8080
    • kiro-gateway (MIT) - routes Claude Code through Kiro Pro subscription
    • AWS Agent Plugins (Apache 2.0) - serverless, deploy, SageMaker skills for Claude Code
    • Aider (Apache 2.0) - AI pair programming in terminal
    • AWS CLI, SAM CLI, CDK CLI
    • Node.js 20, Python 3.11, Docker, git, tmux, zsh, Oh My Zsh
    • GitHub CLI (gh)

    Security and Networking:

    • VS Code Server listens on port 8080. YOU MUST restrict your Security Group to allow port 8080 from YOUR IP only.
    • Do NOT leave port 8080 open to 0.0.0.0/0.
    • SSH (port 22) should also be restricted to your IP only.
    • CIS-hardened Amazon Linux 2023, auto-updates enabled, SSM Agent.

    Getting Started:

    1. Launch on t3.xlarge (recommended) or any supported instance type
    2. Restrict Security Group port 8080 to your IP
    3. Open http://INSTANCE_IP:8080 for VS Code Server
    4. Run ~/first-boot-setup.sh to install your AI agents
    5. Start coding in ~/workspace with multiple agents

    Highlights

    • Multi-agent workspace - Claude Code, Kiro, Aider, Copilot on one instance
    • VS Code Server in browser - no SSH needed, port 8080
    • AWS Agent Plugins + MCP servers pre-configured for serverless and deploy workflows

    Details

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux Amazon Linux 2023

    Deployed on AWS
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    Pricing

    Multi-Agent Dev Sandbox - AI Coding Environment

     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.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (5)

     Info
    Dimension
    Description
    Cost/hour
    t3.xlarge
    Recommended
    t3.xlarge hourly
    $0.10
    m5.2xlarge
    m5.2xlarge hourly
    $0.15
    t3.large
    t3.large hourly
    $0.05
    t3.medium
    t3.medium hourly
    $0.05
    m5.xlarge
    m5.xlarge hourly
    $0.10

    Vendor refund policy

    No refunds. Cancel anytime via AWS Marketplace. Support: support@waltsoft.net 

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    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

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    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

    Initial release. Node 20, Python 3.11, Docker, VS Code Server, kiro-gateway, Agent Plugins, Aider, AWS CLI/SAM/CDK, CIS-hardened AL2023.

    Additional details

    Usage instructions

    1. Launch on t3.xlarge (recommended) or any supported instance
    2. Restrict Security Group port 8080 to YOUR IP only
    3. Open http://INSTANCE_IP:8080 for VS Code Server
    4. SSH as ec2-user and run ~/first-boot-setup.sh
    5. The setup wizard installs your AI agents from official sources
    6. Start coding in ~/workspace with multiple agents

    Support

    Vendor support

    Email support at support@waltsoft.net .

    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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