InsideOut — Riley Infrastructure Agent

InsideOut by Luther Systems

Cloud infrastructure automation. Describe your application in natural language and InsideOut will design, configure, deploy, and manage production-ready backend infrastructure -- in minutes, not weeks.

Works standalone or integrated directly into AI app builders via MCP.

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Quick Install (30 seconds)

npx skills add luthersystems/insideout-agent-skills

Works with Claude Code, Codex, Cursor, Kiro, Windsurf, and 30+ other tools.

View on Skills.sh | Try the web app -- no install required.

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What Problem Does InsideOut Solve?

Setting up cloud infrastructure is slow, error-prone, and requires deep DevOps expertise. Teams spend weeks on plumbing -- networking, security, storage, scaling configuration -- before writing a single line of product code.

InsideOut eliminates this. You describe your application; InsideOut handles the rest: architecture design, Terraform generation, cost estimation, deployment, and ongoing management.

Before InsideOut: Weeks of manual infrastructure setup, Terraform authoring, and cloud configuration. With InsideOut: Backend infrastructure deployed in minutes, managed continuously.

Capability	Manual Terraform	InsideOut
Time to deploy	Days to weeks	Minutes
Security defaults	Manual	Automatic
Cost visibility	Post-deploy billing	Pre-deploy estimates
Observability setup	Manual	Day one
AI app builder integration	None	Native (Claude Code, Codex, Kiro, Antigravity)
Terraform ownership	Yes	Yes (generated, exportable)

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What You Can Do

• Design AWS/GCP architectures conversationally
• Get real-time cost estimates before deploying
• Generate production-ready Terraform
• Deploy infrastructure directly from your tool
• Inspect environments and detect drift
• Monitor logs and manage resources over time

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Quick Start

Once installed, just ask:

"Build me a scalable backend for my golang microservices app on AWS with a DB and auth."

InsideOut will:

1. Propose an architecture (ECS, RDS, Cognito, ALB, VPC...)
2. Estimate monthly cost
3. Generate production-ready Terraform
4. Deploy to your AWS or GCP account

You: "I need infrastructure for an e-commerce platform, 1k monthly users on AWS"

Riley: "I'd recommend ECS for your containers, RDS PostgreSQL for your database,
        ElastiCache Redis for sessions, and an ALB. Estimated cost: ~$350/month.
        Want me to adjust anything?"

You: "Looks good, generate the Terraform"

[Generates production-ready Terraform files]

You: "Deploy it"

[Deploys to AWS, streams logs in real-time]

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Who Is This For?

User	Use case
Solo developers	Ship a production backend without DevOps expertise
Startup engineering teams	Move from idea to deployed infrastructure in minutes
AI app builders	Integrate infrastructure automation directly into AI-native development workflows
Enterprise teams	Standardise infrastructure with best practices and cost controls
DevOps / platform engineers	Faster architecture and IaC workflows

If you'd rather describe what you want than manually wire it together -- this is for you.

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Choose Your Path

Path	Best for	Install
This repo (recommended for Codex)	Portable skill across multiple AI tools	npx skills add luthersystems/insideout-agent-skills
Claude Code plugin	Best native Claude Code experience	/plugin marketplace add luthersystems/insideout-claude-code
Kiro power	Best native Kiro experience	Add power from GitHub: luthersystems/insideout-power
Web app	No install required	Open in browser

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Installation (Detailed)

Recommended: Skills CLI

npx skills add luthersystems/insideout-agent-skills

Claude Code

For the full plugin experience (slash commands, agents, hooks, auto-approve):

/plugin marketplace add luthersystems/insideout-claude-code
/plugin install insideout

Codex

npx skills add luthersystems/insideout-agent-skills --agent codex

Activate by typing $insideout -- Codex will detect the missing MCP server and prompt you to install it automatically.

Fallback: If the auto-install doesn't trigger, run: codex mcp add insideout --url https://app.luthersystems.com/v1/insideout-mcp

Cursor

npx skills add luthersystems/insideout-agent-skills --agent cursor

Then add the MCP server to your Cursor MCP config:

{
  "mcpServers": {
    "insideout": {
      "type": "http",
      "url": "https://app.luthersystems.com/v1/insideout-mcp"
    }
  }
}

Windsurf

npx skills add luthersystems/insideout-agent-skills --agent windsurf

Add MCP via Windsurf MCP Marketplace or manually in settings.

Kiro

For the full power experience (steering files, design pattern guides, auto-approve):

1. Open the Powers panel
2. Click Add power from GitHub
3. Enter: luthersystems/insideout-power

Antigravity

npx skills add luthersystems/insideout-agent-skills --agent antigravity

Then add the MCP server in Antigravity: "..." menu → MCP Servers → Manage MCP Servers → View raw config:

{
  "mcpServers": {
    "insideout": {
      "serverUrl": "https://app.luthersystems.com/v1/insideout-mcp"
    }
  }
}

Note: Antigravity uses serverUrl, not url.

Manual Installation

git clone https://github.com/luthersystems/insideout-agent-skills.git
cp -r insideout-agent-skills ~/.agents/skills/insideout

The ~/.agents/skills/ directory is the standard cross-tool location. Most AI coding tools will detect skills here automatically.

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Supported Services (60+)

Category	AWS	GCP
Compute	EC2, ECS, EKS, Lambda	Compute Engine, Cloud Run, GKE, Cloud Functions
Database	RDS PostgreSQL, DynamoDB, ElastiCache, OpenSearch	Cloud SQL, Firestore, Memorystore
Networking	VPC, ALB, CloudFront, API Gateway	VPC, Load Balancing, Cloud CDN, API Gateway
Storage	S3	Cloud Storage
Security	WAF, KMS, Secrets Manager, Cognito	Cloud Armor, Cloud KMS, Secret Manager, Identity Platform
Messaging	SQS, MSK (Kafka)	Pub/Sub
Observability	CloudWatch, Managed Grafana	Cloud Logging, Cloud Monitoring
AI/ML	Bedrock	Vertex AI
CI/CD	CodePipeline, GitHub Actions	Cloud Build
Backup	AWS Backup	GCP Backups

Architecture patterns: AI Stack, Microservices, Serverless. Azure support is upcoming.

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Core Capabilities

Infrastructure from Description

Describe your application in natural language. InsideOut generates the architecture, configuration, and Terraform. Review, tweak, and deploy -- all from one place.

Cost Visibility Before Deployment

Get cost estimates for your exact stack before committing. No surprise bills; pricing is surfaced at design time.

Secure and Observable by Default

Security best practices applied automatically. Observability configured from day one -- no retroactive setup needed.

Full Terraform Ownership

You own the generated Terraform files. Use InsideOut defaults or override any setting. No lock-in; the output is standard infrastructure-as-code.

Managed Operations

Luther Systems sets up and manages critical infrastructure. Ongoing updates and operational support included.

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How It Works

InsideOut uses a multi-agent AI system behind a single MCP server:

Agent	Role
Riley	Infrastructure advisor -- leads the design conversation
Hippo	Cost estimation and pricing optimization
Joy	User experience and requirement gathering
Etch	Terraform code generation
Core	Architecture validation and best practices
Axel	Deployment orchestration

From your perspective, you're talking to Riley. The other agents work behind the scenes. These capabilities are exposed as tools inside your AI environment, so you use them conversationally.

Security & Auth Model

• No API key required to install or use the skill
• The MCP server runs remotely over HTTPS -- no local binary needed
• Cloud credentials are only required at deployment time, via a browser-based connect flow
• You control what gets deployed into your cloud accounts
• You can review all generated Terraform before deploying

See SECURITY.md for detailed data flow documentation.

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Terraform Presets and Modules

InsideOut uses a library of battle-tested, standard Terraform modules composed for common infrastructure patterns.

• Terraform Presets -- the pre-built modules InsideOut composes
• Standard Modules -- underlying Luther Enterprise infrastructure modules

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FAQ

Can I use InsideOut without the InsideOut UI? Yes. InsideOut integrates with Claude Code, Codex, Kiro, Antigravity, and any MCP-compatible AI development environment, allowing you to design, price, and deploy infrastructure directly from your editor without opening the InsideOut interface.

Do I own the generated Terraform? Yes. InsideOut generates standard Terraform files that you own and can export, modify, or use independently of the platform.

Can I override the default configuration? Yes. InsideOut applies best-practice defaults but every setting is overridable. You control the final configuration before deployment.

What clouds does InsideOut support? AWS and Google Cloud Platform. AWS has the deepest support with the widest range of resource types. Azure support is upcoming.

Is InsideOut suitable for AI application backends? Yes. InsideOut explicitly supports AI stack architectures and is designed to work within AI-native development environments like Claude Code, Codex, Kiro, Antigravity, and other MCP-compatible tools.

How does pricing work? Cost estimates for your exact stack are surfaced before deployment. Contact Luther Systems for platform pricing: [email protected]

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Resources

• Skills.sh -- skill listing on the Skills registry
• InsideOut Platform
• Web App -- try InsideOut without any IDE
• Demo Video
• Documentation
• Terraform Presets
• Agent Skills Standard
• Subreddit
• llms.txt -- machine-readable product summary for LLM discovery

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About Luther Systems

Luther Systems is an enterprise infrastructure and automation company founded in 2015, headquartered in London, UK. Our mission is to accelerate the advent of the automated enterprise.

Founded by a team who spent years automating complex processes for some of the world's largest financial institutions, Luther Systems builds platforms that bring enterprise-grade infrastructure and operations to teams of every size.

• Luther Systems
• InsideOut
• GitHub
• Documentation

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Get Help

• Discord -- chat with the devs and InsideOut users
• Book a Call -- talk with us
• Tech Call -- talk with the devs
• Email: [email protected]

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License

Apache License 2.0