Primitives

typescript-waf

TypeScript/JavaScript coding standards aligned with Azure WAF pillars — secure credential handling, async patterns, Zod validation, structured error handling, and production-ready testing with Vitest.

• security
• reliability
• performance-efficiency

uvicorn-waf

Uvicorn/ASGI standards — worker config, graceful shutdown, health checks, production settings.

• performance-efficiency
• reliability

vitest-waf

Vitest testing standards — ES2022, snapshot testing, coverage, and mock patterns for Node.js/TypeScript.

• reliability

winui3-waf

WinUI 3 standards — XAML, MVVM, Windows App SDK patterns.

• reliability
• performance-efficiency

wordpress-waf

WordPress development standards — hooks/filters, custom post types, security, and performance.

• security
• performance-efficiency

wpf-waf

WPF standards — MVVM, data binding, commands, styles, templates.

• reliability

xunit-waf

xUnit testing standards — Fact/Theory, FluentAssertions, and integration testing with WebApplicationFactory.

• reliability

zod-waf

Zod validation standards — schema design, type inference, transform, error messages, API input validation.

• security
• reliability

agentic-rag

Autonomous RAG where the AI agent controls retrieval — decides when to search, which sources to query, iterates on results.

ai-evaluation-suite

AI Evaluation Suite — groundedness, coherence, relevance, fluency, and safety scoring. Build evaluation pipelines with Azure AI Evaluation SDK.

ai-landing-zone

Azure AI Landing Zone — subscription vending, network topology, RBAC, policy enforcement.

ai-landing-zone-advanced

Advanced AI Landing Zone — multi-region deployment, private endpoints, Azure Firewall, DDoS protection, sovereign cloud patterns.

ai-observability

AI Observability — distributed tracing for LLM calls, token usage dashboards, latency monitoring, evaluation score tracking.

ai-search-portal

AI Search Portal — full-text and vector hybrid search with semantic ranking, faceted navigation, autocomplete.

anomaly-detection

Anomaly Detection — real-time and batch anomaly detection for time-series, metrics, and log data. Uses Azure AI Anomaly Detector, custom ML models.

architecture-patterns

Architecture Patterns — cloud design patterns, domain-driven design, microservices, event sourcing, CQRS.

azure-ai-services

Azure AI Services — OpenAI, AI Search, Document Intelligence, Language, Speech, Vision.

azure-containers

Azure Containers — AKS, Container Apps, Container Registry, and Dockerized deployment patterns. GPU workloads, KEDA autoscaling.

azure-data-services

Azure Data Services — Cosmos DB, SQL Database, Blob Storage, Data Explorer, and Redis Cache patterns. Schema design, partition strategies.

azure-identity-security

Azure Identity & Security — Managed Identity, Key Vault, RBAC, Conditional Access.

azure-infrastructure

Azure Infrastructure — landing zones, hub-spoke networking, private endpoints, Azure Policy, RBAC.

azure-messaging

Azure Messaging — Service Bus, Event Hubs, and Event Grid patterns for async communication, event sourcing.

azure-monitoring

Azure Monitoring — Application Insights, Log Analytics, KQL queries, alert rules, workbooks.

azure-serverless

Azure Serverless — Functions, Logic Apps, Event Grid, and Durable Functions patterns. Event-driven architectures with consumption-based scaling.