aws-cloudwatch
Implement monitoring, alerting, and observability with CloudWatch
aws-codepipeline
Build automated CI/CD pipelines with CodePipeline and CodeBuild
aws-cost-optimization
Optimize AWS costs through resource rightsizing and savings strategies
aws-ec2-deployment
Launch, configure, and manage EC2 instances with best practices
aws-ecs
Deploy and manage containerized applications on ECS/Fargate
aws-lambda-functions
Build optimized serverless functions with Lambda
aws-rds-setup
Deploy and configure RDS/Aurora databases with HA and security
aws-security-best-practices
Implement comprehensive AWS security controls and compliance
backend-patterns
Production-grade backend patterns for Node.js, Python, Go, and Java/Spring frameworks
devops-patterns
Infrastructure, deployment, and operations patterns for Docker, Kubernetes, and CI/CD
documentation
API documentation with OpenAPI and developer portals
frontend-patterns
Frontend development and API integration patterns for React, TypeScript, and state management
security-patterns
Security architecture, authentication, authorization, and compliance patterns
versioning
API versioning strategies and backward compatibility
evaluation-metrics
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.
fine-tuning
LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.
llm-basics
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
prompt-engineering
Prompt design, optimization, few-shot learning, and chain of thought techniques for LLM applications.
tool-calling
Implement tool calling - function schemas, API integration, validation, and error handling
backend-development
Backend development - APIs, authentication, business logic
database-integration
Database integration - schema design, queries, migrations, optimization
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