Primitives

fai-architect

Senior cloud-native solution architect — Azure Well-Architected Framework alignment, AI system design, multi-service integration, cost modeling, trade-off analysis, and production readiness assessment.

• reliability
• security
• cost-optimization
• performance-efficiency
• +2

fai-azure-container-apps-expert

Azure Container Apps specialist — serverless containers, Dapr sidecars, KEDA autoscaling, GPU workload profiles, scale-to-zero, and AI agent hosting patterns with blue/green deployments.

• cost-optimization
• reliability
• operational-excellence

fai-azure-devops-expert

Azure DevOps specialist — YAML multi-stage pipelines, environment protection rules, artifact feeds, workload identity federation, and AI-specific deployment quality gates.

• operational-excellence
• reliability
• security

fai-azure-functions-expert

Azure Functions specialist — event-driven AI processing, Durable Functions for long-running agent orchestration, timer triggers for batch inference, and cold start optimization.

• cost-optimization
• reliability
• operational-excellence

fai-azure-logic-apps-expert

Azure Logic Apps specialist — low-code workflow automation, 1400+ connectors, AI integration actions, Durable orchestration, B2B/EDI, and enterprise integration patterns.

• operational-excellence
• reliability
• cost-optimization

fai-azure-monitor-expert

Azure Monitor specialist — Application Insights for AI distributed tracing, KQL for token analytics, custom dashboards for groundedness/coherence metrics, cost alerting, and AI-specific observability patterns.

• operational-excellence
• cost-optimization
• reliability

fai-cicd-pipeline-expert

CI/CD pipeline specialist — GitHub Actions with OIDC, multi-stage deployments, AI quality gates (eval.py), security scanning, and DORA metrics for AI application delivery.

• operational-excellence
• reliability
• security

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-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-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-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-datadog-expert

Datadog observability specialist — monitor creation, APM trace correlation, dashboard design, metric queries, and AI workload monitoring with custom metrics for token usage and model latency.

• operational-excellence
• reliability

fai-debug-expert

Systematic debugging specialist — reproduce-isolate-fix methodology, binary search isolation, stack trace interpretation, Application Insights transaction tracing, and LLM-specific issue diagnosis.

• reliability
• operational-excellence

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-incident-responder

Incident response specialist — severity classification (P0-P4), triage protocols, automated runbooks, war room coordination, root cause analysis, blameless post-mortems, and AI-specific incident patterns.

• reliability
• operational-excellence

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-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-migration-expert

Migration specialist — legacy-to-cloud, .NET Framework upgrade, database migration, AI-native re-architecture, 6R framework, Azure Migrate, and incremental migration patterns.

• operational-excellence
• reliability

fai-mlflow-expert

MLflow specialist — experiment tracking, model registry, metric/artifact logging, Azure ML integration, deployment pipelines, and model lifecycle management.

• operational-excellence
• reliability

fai-openapi-expert

OpenAPI specialist — API-first design, OpenAPI 3.1 spec authoring, code generation, validation middleware, and Copilot plugin API definition for AI applications.

• operational-excellence
• reliability