# DotNetStudioAI — LLM Context File
# https://www.dotnetstudioai.com/llms.txt
# Last updated: 2026-04-13

> DotNetStudioAI is the developer authority for .NET + AI development.
> It provides expert guides, production-ready code recipes, verified debugging fixes,
> and end-to-end project tutorials for the .NET + AI ecosystem.

## Site Identity
- Name: DotNetStudioAI
- Tagline: Where .NET Meets AI
- URL: https://www.dotnetstudioai.com
- Focus: .NET, AI, Semantic Kernel, Azure OpenAI, ML.NET, AI developer tooling, MCP, Microsoft Agent Framework
- Contact: dotnetstudioai@gmail.com

## Content Architecture

### /university/ — Concepts & Fundamentals
Deep conceptual guides on .NET + AI architecture patterns, SDK internals, and developer mental models.
Examples: Semantic Kernel architecture, AI agent patterns, Microsoft Agent Framework, MCP protocol, ONNX runtime.

### /university/[path]/ — Structured Learning Paths
Five guided learning paths from fundamentals to production implementations:
- **AI Foundations for .NET** — Microsoft.Extensions.AI, generative AI concepts, .NET AI stack overview
- **Semantic Kernel Mastery** — From "What is SK?" through plugins, memory, vector stores, to migration
- **AI Agents in .NET** — Agent architecture, first agent build, Agent Framework, MCP, multi-agent systems
- **ML.NET & ONNX** — ML.NET fundamentals, sentiment analysis, ONNX runtime for offline inference
- **Production AI Engineering** — Observability, security, cost optimization, deployment patterns

### /hospital/ — Error Fixes & Debugging
Verified solutions to real production errors sourced from GitHub Issues, StackOverflow, and incident reports.
Examples: 401 API key errors, 429 rate limits, 503 service unavailable, deployment not found, NuGet conflicts, SK template errors, Azure AI Search indexing errors.

### /workshop/ — End-to-End Projects
Complete project tutorials that ship real AI-powered .NET applications from scaffold to deployment.
Examples: RAG chatbot with Cosmos DB, AI agents with Semantic Kernel, MCP server in C#, multi-agent systems, ML.NET sentiment analysis, streaming chat API.

### /news/ — Releases & Ecosystem Updates
SDK release notes, breaking changes, deprecation notices, and ecosystem tooling updates.
Examples: MCP C# SDK v1.0 release, Microsoft Agent Framework RC, Azure AI OpenAI 2.1.0, Azure Search Documents 11.7.0.

## Content Quality Signals
- Each article includes: tier badge (CORE/ECOSYSTEM), signal origin, .NET version, SDK versions
- Code blocks include version labels and "runs as-is" indicators
- Articles include structured FAQ blocks with schema.org markup
- LLM-friendly summaries with key takeaways and implementation checklists
- Evergreen implementation guidance now defaults to .NET 10, GPT-5.4 or GPT-5.4-mini, and current Azure.AI.OpenAI 2.x guidance unless an article is explicitly historical
- 77 articles across four pillars and five learning paths

## Technical Details
- Built with: Astro (static site generator)
- Hosted on: Netlify
- Content format: Markdown/MDX with structured frontmatter
- Schema markup: JSON-LD (Article, FAQ, Breadcrumb, Organization, WebSite)
- Sitemap: https://www.dotnetstudioai.com/sitemap-index.xml

## Contact
- Email: dotnetstudioai@gmail.com
- GitHub: https://github.com/dotnetstudioai
- Twitter: https://twitter.com/dotnetstudioai
- LinkedIn: https://www.linkedin.com/in/rajeshmishra90/