Cloud Architect Agent for Claude Code: Stop Reinventing Infrastructure Decisions

Every senior developer has been there: a stakeholder walks in with a vague requirement like “we need to move to the cloud” or “why is our AWS bill so high?” and suddenly you’re context-switching from application code to infrastructure research, pricing calculators, and compliance checklists. Even experienced architects spend hours reconstructing the same decision frameworks across projects.

The Cloud Architect agent for Claude Code eliminates that friction. It brings the systematic thinking of a senior cloud architect — someone who has designed multi-region failover architectures, navigated HIPAA audits, and debugged runaway cloud bills — directly into your development workflow. Instead of opening ten browser tabs, you describe your constraints and get actionable, opinionated guidance grounded in the AWS Well-Architected Framework and real-world operational patterns.

This isn’t a generic chatbot that regurgitates documentation. It’s a structured reasoning agent that queries your context, applies architectural checklists, and produces recommendations you can actually implement — covering AWS, Azure, and GCP in single-cloud and multi-cloud configurations.

When to Use This Agent

Reach for the Cloud Architect agent whenever your work intersects infrastructure decisions at scale. Specific scenarios where it delivers immediate value:

• Cloud migrations: Assessing a monolithic on-premises application for cloud readiness, choosing between lift-and-shift versus re-architecture, mapping migration waves, and planning rollbacks.
• Cost optimization audits: Diagnosing runaway spend, right-sizing instance fleets, modeling Reserved Instance versus Spot Instance tradeoffs, and implementing FinOps practices across teams.
• Disaster recovery design: Defining RTO and RPO targets, selecting multi-region replication strategies, automating failover, and creating tested runbooks.
• Compliance architecture: HIPAA, SOC 2, PCI-DSS, or GDPR requirements that need to translate into concrete infrastructure controls — encryption, audit logging, network segmentation, identity federation.
• Multi-cloud strategy: Distributing workloads across providers for resilience or cost arbitrage, abstracting vendor-specific APIs, and managing unified observability.
• Greenfield architecture: Designing serverless patterns, microservices topologies, data lake pipelines, or ML infrastructure from scratch with scalability baked in from day one.
• Architecture reviews: Running a Well-Architected Framework review against an existing system and generating a prioritized remediation backlog.

It’s less useful for narrow, code-level tasks — debugging a Lambda function or writing a Terraform module for a specific resource. For those, you want a more targeted agent. The Cloud Architect operates at the design and decision layer.

Real-World Examples

Scenario 1: Migrating a Monolith to AWS

A company is moving their on-premises application to AWS for the first time. They have 200 users today, a 99.9% uptime requirement, and expect 50% annual user growth.

Developer: “We’re moving from on-premises to AWS. We have 200 users, need 99.9% uptime, and expect 50% growth annually. What should our architecture look like?”

Cloud Architect Agent: “I’ll design a scalable, resilient AWS architecture. Based on your requirements, I recommend a multi-AZ deployment with auto-scaling groups behind an Application Load Balancer, RDS for your relational data layer with read replicas and automated failover to meet the 99.9% SLA, CloudFront CDN for static content delivery, and Elasticache for session management. For the 50% annual growth trajectory, I’ll implement horizontal scaling policies tied to CPU and request latency metrics so capacity scales ahead of demand. Infrastructure as Code via Terraform or CDK ensures this is reproducible across environments. Migration approach: start with the 6Rs assessment to identify which application components can be re-platformed versus re-architected, then execute in waves with rollback checkpoints at each stage…”

What would have taken a half-day of architecture meetings and documentation work collapses into an immediate, structured recommendation you can refine with follow-up questions.

Scenario 2: Diagnosing a $150K/Month AWS Bill

An engineering organization’s AWS costs have ballooned 60% above projections. They’re running primarily on-demand instances with no purchasing strategy.

Developer: “Our AWS bill jumped to $150K/month. We’re using mostly on-demand instances. How do we optimize costs?”

Cloud Architect Agent: “Let me analyze your workloads. I recommend: right-sizing your EC2 instances using Cost Explorer and Compute Optimizer recommendations — this typically recovers 20-30% of spend on its own. For predictable baseline capacity, purchase 3-year Reserved Instances with partial upfront payment for a 40% discount over on-demand. Shift batch processing, CI/CD runners, and stateless workers to Spot Instances for 70-90% savings on interruptible workloads. Implement S3 Intelligent-Tiering and lifecycle policies to migrate infrequently accessed data to cheaper storage classes. Finally, audit inter-AZ data transfer costs, which are frequently invisible but significant at your scale. With this approach, a realistic target is getting from $150K down to $85-95K within one billing cycle without touching application performance…”

The agent doesn’t just list tactics — it prioritizes by impact and acknowledges the tradeoffs between commitment, flexibility, and risk.

Scenario 3: HIPAA-Compliant Multi-Cloud with 4-Hour RTO

A healthcare provider runs workloads across AWS and Azure for redundancy. They need HIPAA compliance controls and the ability to survive a complete region failure with recovery under four hours.

Developer: “We use AWS and Azure for redundancy. We need HIPAA compliance and must survive a complete region failure with recovery in under 4 hours.”

Cloud Architect Agent: “I’ll design a compliant, resilient architecture across both providers. For HIPAA: implement AES-256 encryption at rest on all storage services and TLS 1.2+ in transit, create isolated VPCs with network segmentation enforced by security groups and NACLs, enable CloudTrail and Azure Monitor with tamper-proof log retention, implement zero-trust access via federated identity with MFA enforcement, and automate compliance checks with AWS Config and Azure Policy. For the 4-hour RTO: deploy active-passive across AWS and Azure regions with automated DNS failover via Route 53 health checks, replicate your database tier using cross-cloud VPN with near-real-time sync, and maintain pre-warmed infrastructure in the passive region using IaC so failover is an activation event rather than a rebuild. Document the runbook, and test it quarterly under simulated region failure conditions to validate the RTO commitment…”

What Makes This Agent Powerful

Structured Architectural Checklists

The agent carries embedded checklists covering availability design, multi-region resilience, security by design, IaC adoption, compliance requirements, and disaster recovery testing. These aren’t reminders — they’re applied as evaluation criteria against every recommendation it makes.

Well-Architected Framework Integration

Every architectural recommendation is grounded in the six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. The agent isn’t making up patterns — it’s applying a framework that cloud providers themselves endorse for production-grade systems.

Multi-Cloud Depth

The agent covers AWS, Azure, and GCP with equivalent depth, including service mapping between providers, API abstraction strategies, data sovereignty constraints, and vendor lock-in mitigation. Most teams have strong AWS knowledge but weaker cross-cloud reasoning — this fills that gap.

Migration Strategy Framework

The built-in 6Rs assessment (rehost, replatform, repurchase, refactor, retire, retain) gives migrations a structured starting point rather than a blank canvas. The agent maps application workloads to the appropriate strategy based on complexity, cost, and business criticality.

FinOps Practices

Cost optimization isn’t treated as an afterthought. The agent applies Reserved Instance planning, right-sizing analysis, Spot Instance utilization modeling, storage lifecycle policies, and network cost analysis as a unified FinOps practice rather than isolated tips.

How to Install

Installation is straightforward. Claude Code automatically loads agents defined in your project’s .claude/agents/ directory.

1. In your project root, create the directory if it doesn’t exist:

mkdir -p .claude/agents

2. Create the agent file:

touch .claude/agents/cloud-architect.md

3. Open the file and paste the full agent system prompt — starting with the role definition through all the architectural domains and the communication protocol section.

4. Save the file. Claude Code will detect it automatically on the next session — no restart or configuration required.

To invoke the agent, reference it directly in your Claude Code session:

Use the cloud-architect agent to evaluate our current multi-region setup.

You can also commit the .claude/agents/ directory to your repository so the entire team has access to the same agent configuration — a clean way to standardize architectural guidance across an engineering organization.

Conclusion and Next Steps

The Cloud Architect agent is most valuable when you treat it as a structured thinking partner rather than a search engine. Come in with real constraints — user counts, budget figures, compliance requirements, SLA commitments — and it returns opinionated, implementable recommendations rather than generic options.

Practical next steps after installation:

• Run your current production infrastructure through a Well-Architected review to surface the highest-priority gaps.
• Use it to model a cost optimization plan against your last three months of cloud spend data.
• If you have an upcoming migration, start with the 6Rs assessment for your application portfolio before making any provider commitments.
• For teams without a dedicated cloud architect, make this agent part of your architecture review process — requiring agents to sign off on significant infrastructure decisions the same way you require code review.

Infrastructure decisions compound. A poorly chosen architecture in month one becomes a painful re-architecture in month eighteen. Having this level of architectural reasoning available inline — without context switching out of your development environment — removes the friction that causes those shortcuts in the first place.

Agent template sourced from the claude-code-templates open source project (MIT License).