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Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
LangGraph excels in financial fraud detection due to its stateful, deterministic, and auditable graph-based orchestration, outperforming AutoGen & CrewAI.
Unlock deep insights into your Copilot Studio agent with Application Insights. Monitor, debug, and analyze conversations for enhanced performance and user experience.
AI agents offer power but demand caution. Learn from the PocketOS disaster to implement safeguards for autonomous AI.
Optimize AI knowledge retrieval by designing AI-friendly database schemas. Learn best practices for chunking, metadata, embeddings, and security.
Boost RAG accuracy with Azure AI Search's hybrid retrieval: combining vector, keyword, and semantic ranking for superior AI responses.
Discover AI Agents: intelligent systems that think, plan, and act autonomously to automate complex tasks, transforming software development and business operations.
Build AI-powered architecture review systems with .NET, Azure OpenAI, and Semantic Kernel for faster, consistent, and scalable software design.
Optimize LLM context windows for scalable AI apps. Reduce costs, latency, and improve response quality with smart retrieval & summarization.
Build AI-powered data analysts with Semantic Kernel and .NET. Understand natural language, query data, and generate actionable business insights.
Beyond next-token prediction: Metacognition AI offers a new architecture for trustworthy, auditable, and causal reasoning in AI.
Explore the enterprise AI shift: Standard SLMs vs. Gödel's PT-SLM for secure, on-premise corporate workflows and data privacy.
Unlock production-ready local AI on Windows with Windows AI Foundry. Enhance privacy, reduce costs, and boost performance.
Build AI chatbots and copilots in ASP.NET Core by integrating OpenAI GPT. Learn how to configure the API, set up service layers, and expose endpoints to deliver intelligent, production-ready applications.
Master Microsoft Copilot Studio: Understand System vs. Custom Topics for efficient bot development and enhanced user experiences.
Build AI agents with Microsoft Foundry, grounding LLMs in enterprise knowledge for accurate, task-oriented responses. Explore PDF integration and guardrails.
Master AI runtime management for enterprise apps: architecture, monitoring, scaling, and cost optimization for reliable production AI.
Explore hybrid AI architecture patterns for integrating AI into traditional apps, enhancing scalability, reliability, and maintainability.
Build advanced AI agents with .NET 9 & Azure OpenAI. Master architecture, Semantic Kernel, RAG, function calling, and best practices for enterprise automation.
Explore intent-driven software development with GitHub Copilot & AI agents. Shift from coding to outcomes for faster, more productive development.
Build cost-aware AI apps that scale efficiently. Master LLM costs, optimize RAG, implement tiering & budget controls in .NET.
Mastercard's Agent Pay for Machines enables AI agents to make programmatic payments, ushering in an era of agentic commerce and economic participation.
Master LLM workflows: from simple prompt-response to complex multi-agent systems. Choose the right architecture for your AI use case.
Master AI runtime architecture patterns for scalable, secure, and maintainable enterprise AI systems. Essential for solution architects.
Unlock enterprise knowledge with Azure AI Search. Build real-time, intelligent retrieval systems using semantic, vector, and hybrid search for RAG.
Learn the most important agent-to-agent communication patterns for distributed AI systems, including coordinator, event-driven, publish-subscribe, shared memory, and peer-to-peer architectures.
Learn how to implement AI agent observability in .NET applications using monitoring, logging, tracing, OpenTelemetry, and best practices for production AI systems.
Explore the most important AI-native architecture patterns for .NET developers, including RAG, Agentic RAG, AI agents, memory systems, workflow orchestration, and event-driven AI.
Learn how to implement long-term memory in enterprise AI agents using C#, vector databases, embeddings, and memory retrieval patterns to build intelligent and personalized AI solutions.
Learn how to build AI-powered code review systems for enterprise development teams using .NET, AI models, structured outputs, security analysis, and CI/CD integration.
Learn how to implement AI agent governance in enterprise .NET applications using permissions, auditing, compliance controls, role-based access management, and monitoring best practices.
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