Primitives

fai-cost-optimizer

FinOps cost optimizer for AI workloads — model routing economics, semantic caching ROI, token budget design, PTU vs PAYG analysis, right-sizing recommendations, and Azure cost attribution.

• cost-optimization
• performance-efficiency

fai-csharp-expert

C#/.NET specialist — modern C# 12+/.NET 9, Azure SDK integration, Semantic Kernel, async/await patterns, Polly resilience, minimal APIs, and AI-native application development.

• security
• reliability
• performance-efficiency

fai-csharp-mcp-expert

C# MCP server development specialist — ModelContextProtocol NuGet package, [McpServerTool] attributes, dependency injection, stdio/SSE transport, and Azure-integrated MCP tool development.

• security
• reliability
• performance-efficiency

fai-data-engineer

Data engineering specialist for AI — RAG ingestion pipelines, document chunking, ETL/ELT patterns, PII detection with Presidio, data quality scoring, and Azure Data Factory orchestration.

• reliability
• operational-excellence
• performance-efficiency

fai-deno-expert

Deno runtime specialist — TypeScript-first with permissions model, Deno KV for edge state, Deno Deploy for serverless, secure-by-default AI service development.

• security
• performance-efficiency

fai-docker-expert

Docker specialist — multi-stage builds, distroless images, GPU container support (CUDA/NVIDIA), ACR management, layer optimization, and container patterns for AI model serving.

• performance-efficiency
• security

fai-dotnet-maui-expert

.NET MAUI cross-platform specialist — iOS, Android, Windows, macOS from single C# codebase, on-device AI inference (ONNX), MVVM architecture, and mobile-first AI application patterns.

• performance-efficiency
• reliability

fai-dspy-expert

DSPy framework specialist — declarative LM programs, signature-based modules, optimizers (BootstrapFewShot, MIPRO), assertions, metric-driven prompt optimization, and compiled prompt pipelines.

• performance-efficiency
• cost-optimization
• reliability

fai-elasticsearch-expert

Elasticsearch specialist — index design, BM25 + kNN hybrid search, vector fields with HNSW, ILM lifecycle, cluster management, and RAG integration patterns.

• performance-efficiency
• reliability
• security

fai-embedding-expert

Embedding specialist — text-embedding-3 model selection, Matryoshka dimension reduction, batch embedding pipelines, similarity metrics, chunking strategies, and vector database integration for RAG.

• cost-optimization
• performance-efficiency

fai-event-driven-expert

Event-driven architecture specialist — Azure Event Grid, Service Bus, Event Hubs selection, event sourcing, CQRS, saga orchestration, and exactly-once processing patterns for AI pipelines.

• reliability
• performance-efficiency
• cost-optimization

fai-genai-foundations-expert

GenAI foundations expert — transformer architecture, tokenization, inference optimization (KV cache, speculative decoding), model taxonomy, prompt engineering theory, and evaluation benchmarks.

• performance-efficiency
• cost-optimization

fai-go-expert

Go development specialist — idiomatic Go 1.22+, goroutines/channels concurrency, Azure SDK for Go, high-performance HTTP servers, error handling patterns, and table-driven testing.

• performance-efficiency
• reliability
• security

fai-go-mcp-expert

Go MCP server specialist — mcp-go SDK, struct-based tool definitions, context-aware handlers, stdio transport, concurrent tool execution, and Azure service integration.

• performance-efficiency
• reliability

fai-graphql-expert

GraphQL specialist — schema design, resolver patterns, DataLoader N+1 prevention, subscriptions for AI streaming, federation, query complexity limits, and code generation.

• performance-efficiency
• reliability
• security

fai-graphrag-expert

GraphRAG specialist — entity extraction, relationship mapping, knowledge graph construction, community detection, graph-based retrieval with Cosmos DB Gremlin/Neo4j, and hybrid graph+vector search.

• performance-efficiency
• reliability

fai-grpc-expert

gRPC specialist — Protocol Buffers schema design, unary/streaming RPCs, interceptors for auth and tracing, load balancing, health checking, and high-performance AI microservice communication.

• performance-efficiency
• reliability

fai-guidance-expert

Microsoft Guidance specialist — constrained generation, token healing, regex patterns, guaranteed JSON/XML compliance, select/gen/each primitives, and grammar-enforced structured output.

• reliability
• performance-efficiency

fai-htmx-expert

htmx specialist — HTML-over-the-wire, hx-get/hx-post/hx-swap, server-sent events for AI streaming, progressive enhancement, and minimal-JavaScript AI chat interfaces.

• performance-efficiency
• reliability

fai-kotlin-expert

Kotlin specialist — coroutines with structured concurrency, Ktor HTTP server, Flow for reactive AI streaming, Jetpack Compose UI, and Azure SDK suspend-friendly patterns.

• performance-efficiency
• reliability

fai-kotlin-mcp-expert

Kotlin MCP server specialist — coroutine-based tool handlers, Ktor server transport, sealed class tool definitions, Flow-based streaming, and Azure suspend-friendly integration.

• performance-efficiency
• reliability

fai-kubernetes-expert

Kubernetes specialist — pod scheduling, GPU resource management, network policies, Helm charts, GitOps with Flux/ArgoCD, and production-grade AI workload orchestration on AKS.

• reliability
• performance-efficiency
• security

fai-llamaindex-expert

LlamaIndex data framework specialist — document loaders, index types (VectorStore/Summary/Knowledge Graph), query engines, response synthesizers, and agent tool integration for RAG.

• performance-efficiency
• reliability

fai-llm-landscape-expert

LLM landscape expert — model families (GPT, Claude, Llama, Gemini, Phi), benchmarks (MMLU, HumanEval, MT-Bench), deployment types, quantization, and model selection frameworks.

• cost-optimization
• performance-efficiency