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Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
Learn how to design human approvals, specialist routing, MCP integration, tracing, and trace-based evals in the OpenAI Agents SDK for production agent systems.
Learn how the OpenAI Agents SDK runtime works under the hood, including result surfaces, state continuation, typed outputs, sessions, previous response IDs, and streaming settlement.
Master .NET multi-agent systems with Semantic Kernel! Learn orchestration patterns like concurrent, sequential, and group chat to build autonomous AI teams. #dotnetAI
Learn what the OpenAI Agents SDK is and how to build agent apps with tools, handoffs, sessions, tracing, and guardrails using the official OpenAI guide.
Build scalable AI systems! Learn to create multi-agent AI architectures using tools, APIs, and orchestrators for efficient task automation and intelligent workflows.
Explore VectorLess RAG: A novel approach bypassing vector embeddings for efficient, context-aware document retrieval using hierarchical indexing.
This project demonstrates document retrieval by Ziggy Rafiq, context building, and AI-powered responses using clean architecture and enterprise best practices using C# 14 and ASP.NET Core.
Explore Agentic AI: Understand how it's transforming industries! Learn about its capabilities, real-world applications, and future potential. A must-read!
Learn how Playwright MCP lets AI agents automate browser testing with natural-language prompts. Covers MCP architecture, setup, tools, workflows, and supported clients.
Build autonomous AI agents in C# using Semantic Kernel and .NET 10! This guide covers planning, skills, memory, and integration for intelligent apps. Boost productivity!
Explore Microsoft Agent Framework fundamentals, architecture, and how it enables agent-based systems with .NET and Python support.
Learn to build a full CRUD (Create, Read, Update, Delete) application using React for the frontend and Node.js with Express for the backend. REST API example included!
Learn Microsoft Agent Framework architecture, agents, sessions, tools, memory, middleware, and workflows for building .NET AI applications and multi-agent systems.
Unlock AI in .NET! This guide compares Microsoft.Extensions.AI, Semantic Kernel, and raw SDKs for GenAI integration. Choose the right tool for your C# project and build smarter apps.
Demystifying AI jargon! This guide breaks down GenAI, LLMs, RAG, AI Agents, and more with simple analogies. Master the core concepts of modern AI.
Build reliable AI! Learn to design agentic AI workflows that intelligently involve humans for critical decisions. Balance automation with human oversight.
Explore Multi-Agent AI Systems: where multiple AI agents collaborate to solve complex problems. Improve performance, scalability, and flexibility in AI applications.
Compare Cursor, Windsurf, and Claude Code to find the best AI coding tool for your needs. Boost productivity, automate workflows, or enhance understanding!
Build your first AI agent! This step-by-step guide covers selecting an LLM, integrating tools/APIs, function calling, and setting up the agent loop for success.
What’s the difference between calling an LLM and building an AI agent? One answers a question. The other gets the job done
Uncover the key differences between AI Agents and Chatbots! Learn how AI Agents think and act, while Chatbots simply respond. Explore use cases and future trends.
Unlock the power of AI agents! This guide explains what they are, how they work, their benefits, risks, and real-world use cases. Embrace the future of automation!
Ensure agent reliability with Azure AI Evaluation SDK & Foundry. Measure quality, safety, & traceability for production GraphRAG agents. Detect regressions early!
Explore Vector Search vs. Graph Search for knowledge graphs. Understand their differences, use cases, and how to combine them for optimal results. Find the best approach!
Unlock the power of immutability in C# for building reliable applications! Learn how immutable objects prevent bugs, ensure thread safety, and simplify debugging. Master the secret weapon for robust .NET software.
Reduce AI logic errors with Reflexion! This guide explores how AI agents can self-review, learn from mistakes, and improve accuracy. Build smarter, reliable systems.
Combat LLM hallucination with Retrieval-Augmented Generation (RAG)! Learn how RAG enhances accuracy and reliability by grounding LLMs in real-world data.
Agent Skills bridge the AI knowledge gap! Learn how Google DeepMind's innovation uses real-time, verified knowledge to boost accuracy and developer productivity.
Build AI chatbots with your data using LlamaIndex! This guide simplifies connecting your documents to LLMs for accurate, custom responses. No training needed!
Learn how to build AI agents using the AutoGen framework step-by-step. Create intelligent systems that collaborate, reason, and solve complex tasks autonomously.
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