AI Native
The Most Dangerous Person in the AI Era
Explore how developers can use an AI-native mindset, customer insight, and entrepreneurial thinking to identify problems and build useful products.
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The AI-Native SDLC: What Changes When Code Is No Longer the Slow Part
Learn how an AI-native SDLC reshapes planning, design, coding, testing, deployment, and governance when AI accelerates software delivery.
Microsoft Foundry Toolboxes: Designing Centralized AI Tool Governance
Learn how Microsoft Foundry Toolboxes can centralize AI tool governance through authentication, lifecycle management, versioning, permissions, discovery, and enterprise controls.
Failure Recovery Patterns for Declarative Agent Framework Workflows
Master declarative agent workflow failures with durable state, idempotency, retries, and compensation for robust AI systems.
Benchmarking MCP C# SDK 2.0 Under Concurrent Tool Workloads
Benchmark MCP C# SDK 2.0 for .NET AI apps. Measure latency, throughput, concurrency, and resource usage under realistic tool workloads.
Measuring AI Coding-Agent Productivity Without Vanity Metrics
Measure AI coding agent productivity beyond vanity metrics. Focus on delivery, quality, rework, and developer experience for true value.
MCP Multi-Round Requests: Designing Reliable Tool Calls
Master MCP Multi-Round Requests (MRTR) for reliable AI tool calls. Design stateless, interactive tools without long-lived sessions.
Benchmarking Stateless MCP Servers Behind Load Balancers
Benchmark stateless MCP servers behind load balancers to measure throughput, latency, resource consumption, and scaling behavior for optimal .NET deployments.
Migrating MCP C# Servers from SDK 1.x to 2.0
Migrate MCP C# servers from SDK 1.x to 2.0 with this guide. Learn about stateless HTTP, protocol negotiation, and API changes for a smooth transition.
Declarative AI Workflows: YAML vs Code Performance Trade-offs
Explore YAML vs. C# for AI workflows: performance trade-offs, construction vs. execution costs, and choosing the right authoring model.
MCP HTTP Scalability with the New C# SDK 2.0
Unlock MCP HTTP scalability with C# SDK 2.0. Embrace stateless design for easier horizontal scaling and leverage familiar ASP.NET Core infrastructure.
Implementing AI Model Rollback Strategies in Production Systems
Master AI model rollback strategies for production systems. Ensure resilience with versioning, gradual deployments, monitoring, and automated recovery.
Production Patterns for Microsoft.Extensions.AI Provider Switching
Master production patterns for AI provider switching in .NET with Microsoft.Extensions.AI for flexibility, resilience, and cost optimization.
Designing Enterprise AI Sandboxes for Safe Tool Execution
Design secure enterprise AI sandboxes for safe tool execution, controlling AI agent access to APIs, databases, and more.
Event-Driven AI Workflows with Azure Event Grid and .NET
Build scalable, responsive AI workflows with Azure Event Grid and .NET. Decouple services for efficient, event-driven asynchronous processing.
Building AI-Native Microservices with .NET Aspire and OpenTelemetry
Build AI-native microservices with .NET Aspire and OpenTelemetry for enhanced observability, resilience, and scalability in modern AI applications.
Building Event-Driven AI Workflows with Azure Event Grid and .NET
Build scalable, event-driven AI workflows with Azure Event Grid and .NET for automated document analysis, sentiment detection, and more.
Traefik Tutorial: Modern API Gateway and Reverse Proxy for Cloud-Native Apps
Master Traefik, the modern API gateway & reverse proxy for cloud-native apps. Automate traffic, SSL, and discovery for Kubernetes & Docker.
Running ClickHouse for Real-Time Analytics in Cloud-Native Applications
Unlock real-time analytics for cloud-native apps with ClickHouse. Learn its columnar architecture, OLAP strengths, and best practices for massive datasets.
Implementing Hybrid Local and Cloud AI Workflows in .NET Applications
Implement hybrid local & cloud AI in .NET apps. Balance privacy, cost, and performance with intelligent request routing.
Designing AI-Native Event Processing Systems with Azure Event Grid and .NET
Build intelligent, AI-native event processing systems with Azure Event Grid and .NET for real-time analysis and automated decisions.
Designing AI-Native Integration Layers for Enterprise Systems
Discover AI-Native Integration Layers: intelligent intermediaries for enterprise systems, enhancing data exchange with AI-powered reasoning and automation.
Designing AI-Native Workflow Engines Using .NET Aspire
Design AI-native workflow engines with .NET Aspire for adaptive, scalable, and observable distributed applications. Integrate AI, services, and data.
Designing AI-Native Service Architectures with ASP.NET Core
Design AI-native service architectures with ASP.NET Core for scalable, resilient enterprise AI applications. Learn principles, patterns, and implementation.
Designing AI-Native Background Processing Systems with ASP.NET Core
Design AI-native background processing systems with ASP.NET Core. Explore patterns for scalable, reliable AI workloads.
Designing AI-Native Internal Developer Platforms with .NET Aspire
Design AI-native Internal Developer Platforms with .NET Aspire for faster delivery, enhanced productivity, and intelligent automation.
Designing AI-Native SaaS Applications: Architecture Patterns for Modern Software
Discover AI-native SaaS architecture patterns for modern software. Learn about RAG, event-driven processing, multi-agent systems, and more.
Building AI-Native APIs with ASP.NET Core and Natural Language Interfaces
Build AI-native APIs with ASP.NET Core. Leverage natural language, intent processing, and semantic search for intelligent applications.
The Shift from Full-Stack Development to AI-Orchestrated Development
AI-orchestrated development is transforming software engineering. Learn how AI tools are changing roles, skills, and workflows for faster, more efficient development.
AI-Native Without AI-Dependent
AI adoption is outpacing governance. Learn how to stay AI-native without becoming AI-dependent, preserving human judgment and avoiding critical risks.
