Primitives

fai-code-reviewer

Code review specialist — SOLID principles, clean code, OWASP security checks, AI-specific prompt injection auditing, and performance anti-pattern detection across TypeScript, Python, C#, and Bicep.

• reliability
• security
• operational-excellence

fai-collective-debugger

Multi-agent debugging specialist — systematic root cause analysis, stack trace interpretation, Azure diagnostics, LLM-specific issue debugging, and performance profiling for AI pipelines.

• reliability
• operational-excellence

fai-collective-implementer

Multi-agent implementer — writes production code following TDD, implements features with Azure SDKs, generates Bicep infrastructure, and creates solution play components.

• reliability
• performance-efficiency
• security

fai-collective-orchestrator

Multi-agent orchestrator — routes tasks to specialist agents, manages turn limits, decomposes complex requests, synthesizes results, and ensures quality gates across the FAI Collective.

• reliability
• cost-optimization
• operational-excellence

fai-collective-researcher

Multi-agent researcher — gathers information from knowledge bases, codebase search, documentation analysis, and web research to ground specialist agents with verified facts.

• reliability
• responsible-ai

fai-collective-reviewer

Multi-agent reviewer — security audit, OWASP LLM Top 10, WAF compliance, code quality, AI safety checks, and PR review with severity-classified feedback.

• security
• responsible-ai
• reliability

fai-collective-tester

Multi-agent tester — generates unit/integration/E2E tests, AI evaluation pipelines, mutation testing, and quality assurance for AI outputs with deterministic seed-based testing.

• reliability
• operational-excellence

fai-crewai-expert

CrewAI multi-agent framework specialist — crew composition, role-based agents with backstory, task delegation with expected output, sequential/hierarchical processes, and custom tool integration.

• reliability
• operational-excellence

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-dapr-expert

Dapr distributed application runtime specialist — service invocation, state management, pub/sub messaging, bindings, secrets management, and sidecar-based AI microservice patterns.

• reliability
• operational-excellence
• security

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-devops-expert

DevOps lifecycle specialist — GitHub Actions OIDC, Infrastructure as Code (Bicep/Terraform), deployment strategies (blue-green/canary), SRE practices, DORA metrics, and incident management for AI systems.

• operational-excellence
• reliability
• 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-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-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-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-java-expert

Java/Spring Boot specialist — Java 21+ virtual threads, Spring Boot 3.3, Spring AI for LLM integration, reactive streams for SSE, Azure SDK, and enterprise-grade AI application patterns.

• reliability
• security
• operational-excellence

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-landing-zone

Azure AI Landing Zone architect — hub-spoke networking, private endpoints for all PaaS, managed identity, GPU quotas, governance policies, and Bicep-based enterprise AI infrastructure.

• security
• reliability
• operational-excellence

fai-langchain-expert

LangChain framework specialist — LCEL expression language, chains, agents with tool use, retrievers, memory, callbacks, LangSmith tracing, and production RAG pipeline patterns.

• reliability
• operational-excellence

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