api-architecture
REST, GraphQL, and hybrid API architecture patterns for building scalable and maintainable APIs
backend-patterns
Production-grade backend patterns for Node.js, Python, Go, and Java/Spring frameworks
database-patterns
Database design, optimization, and caching strategies for SQL, NoSQL, and Redis
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
graphql
GraphQL API design and schema development
rest
RESTful API design principles and best practices
scaling-patterns
Enterprise scaling patterns for microservices, event-driven architecture, and distributed systems
security-patterns
Security architecture, authentication, authorization, and compliance patterns
versioning
API versioning strategies and backward compatibility
agent-frameworks
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
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.
model-deployment
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
prompt-engineering
Prompt design, optimization, few-shot learning, and chain of thought techniques for LLM applications.
rag-systems
Retrieval Augmented Generation systems with vector search, document processing, and hybrid retrieval.
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