8 posts about C# AI Development by 6 contributors.
Know C# AI Development? Share what you know with developers who are learning it.
Understand the difference between LLMs and AI agents with practical C# and .NET examples covering tool calling, memory, state, agent loops, RAG, guardrails, and enterprise AI architecture.
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 custom MCP servers in C# for enterprise AI applications. Discover MCP architecture, security best practices, tool development, authentication, and real-world integration patterns.
Learn how to implement AI memory systems in C# using vector databases. Discover embeddings, semantic search, memory architectures, and best practices for building intelligent AI applications.
Learn how to implement structured outputs in C# AI applications. Discover schema validation, strongly typed models, JSON responses, and best practices for building reliable enterprise LLM solutions.
Learn how to build production-ready multi-agent systems with Microsoft Agent Framework 1.0. Explore architecture patterns, agent orchestration, tools, memory, and enterprise best practices.
Learn how to integrate AI agents into an ASP.NET MVC app using OpenAI-compatible APIs, dependency injection, async calls, function calling, memory, security, and performance practices.
Unlock the power of AI in your C# development! This article explores how to use Generative AI APIs like OpenAI, Azure OpenAI, and Google Gemini to generate code, documentation, test cases, and more. Learn with practical C# examples, real-world use cases, and discover how AI can accelerate your workflow, boost code quality, and spark innovation. Embrace the future of coding!
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