Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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AWS patterns from Well-Architected Framework
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Apply AWS patterns for building scalable, secure, and cost-effective cloud infrastructure.
principles:
- Perform operations as code
- Make frequent, small, reversible changes
- Refine operations procedures frequently
- Anticipate failure
- Learn from all operational failures
practices:
- Use CloudFormation/CDK for IaC
- Implement CI/CD pipelines
- Use CloudWatch for monitoring
- Set up alarms and dashboards
- Document runbooks
principles:
- Implement strong identity foundation
- Enable traceability
- Apply security at all layers
- Automate security best practices
- Protect data in transit and at rest
- Keep people away from data
- Prepare for security events
iam:
- Use least privilege principle
- Never use root account for daily tasks
- Enable MFA for all users
- Use IAM roles for services
- Rotate credentials regularly
patterns: |
# IAM Policy - Least Privilege
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": [
"s3:GetObject",
"s3:PutObject"
],
"Resource": "arn:aws:s3:::my-bucket/*",
"Condition": {
"IpAddress": {
"aws:SourceIp": "10.0.0.0/8"
}
}
}]
}
principles:
- Automatically recover from failure
- Test recovery procedures
- Scale horizontally
- Stop guessing capacity
- Manage change through automation
practices:
- Multi-AZ deployments
- Auto Scaling groups
- Health checks and self-healing
- Backup and disaster recovery
- Loose coupling with queues
patterns:
high_availability: |
# Multi-AZ RDS
- Primary in us-east-1a
- Standby in us-east-1b
- Read replicas in us-east-1c
auto_scaling: |
# Target tracking scaling
- Metric: CPUUtilization
- Target: 70%
- Min: 2, Max: 10
principles:
- Democratize advanced technologies
- Go global in minutes
- Use serverless architectures
- Experiment more often
- Consider mechanical sympathy
compute:
- Right-size instances
- Use Spot for fault-tolerant workloads
- Consider Graviton (ARM) processors
- Containerize with ECS/EKS
storage:
- Use appropriate storage class
- S3 Intelligent-Tiering for variable access
- EBS volume types based on IOPS needs
database:
- Aurora for MySQL/PostgreSQL
- DynamoDB for key-value/document
- ElastiCache for caching
principles:
- Implement cloud financial management
- Adopt consumption model
- Measure overall efficiency
- Stop spending on undifferentiated heavy lifting
- Analyze and attribute expenditure
practices:
- Use Reserved Instances/Savings Plans
- Right-size resources
- Delete unused resources
- Use Spot Instances
- Implement auto scaling
tools:
- AWS Cost Explorer
- AWS Budgets
- AWS Trusted Advisor
- Cost Allocation Tags
principles:
- Understand your impact
- Establish sustainability goals
- Maximize utilization
- Anticipate and adopt more efficient offerings
- Use managed services
- Reduce downstream impact
practices:
- Use efficient instance types (Graviton)
- Optimize storage lifecycle
- Use serverless where possible
- Select regions with lower carbon intensity
pattern: |
VPC (10.0.0.0/16)
├── Public Subnets
│ ├── us-east-1a: 10.0.1.0/24
│ ├── us-east-1b: 10.0.2.0/24
│ └── us-east-1c: 10.0.3.0/24
├── Private Subnets (App)
│ ├── us-east-1a: 10.0.11.0/24
│ ├── us-east-1b: 10.0.12.0/24
│ └── us-east-1c: 10.0.13.0/24
└── Private Subnets (Data)
├── us-east-1a: 10.0.21.0/24
├── us-east-1b: 10.0.22.0/24
└── us-east-1c: 10.0.23.0/24
components:
- Internet Gateway (public access)
- NAT Gateway (private outbound)
- VPC Endpoints (AWS services)
- Network ACLs (subnet level)
- Security Groups (instance level)
pattern: |
[Internet]
│
[CloudFront]
│
[ALB] ← Public Subnet
│
[ECS/EC2] ← Private Subnet (App)
│
[RDS Multi-AZ] ← Private Subnet (Data)
components:
web_tier:
- CloudFront for CDN
- WAF for protection
- ALB for load balancing
app_tier:
- ECS Fargate or EC2
- Auto Scaling
- ElastiCache
data_tier:
- RDS Multi-AZ
- Read Replicas
- Automated backups
pattern: |
[API Gateway]
│
[Lambda] → [DynamoDB]
│
[SQS] → [Lambda] → [S3]
components:
- API Gateway for REST/HTTP APIs
- Lambda for compute
- DynamoDB for NoSQL
- SQS for decoupling
- S3 for storage
- Step Functions for orchestration
pattern: |
[CodeCommit/GitHub]
│
[CodePipeline]
│
├── [CodeBuild] - Build & Test
│
├── [ECR] - Container Registry
│
└── [CodeDeploy/ECS] - Deploy
practices:
- Blue/Green deployments
- Canary releases
- Automated rollback
- Infrastructure as Code
When designing AWS architecture:
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Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
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Adversarial code review using attacker mindset — trust boundary, attack surface, business logic, and defense evaluation
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Apache Airflow best practices for DAG authoring, testing, and production deployment
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Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
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Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
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