# DotNetStudioAI — LLM Context File
# https://dotnetstudioai.com/llms.txt
# Last updated: 2026-02-18

> 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://dotnetstudioai.com
- Focus: .NET, AI, Semantic Kernel, Azure OpenAI, ML.NET, AI developer tooling
- 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, Azure AI Services overview, .NET AI stack comparison.

### /cookbook/ — Integration Recipes
Production-ready code snippets with version badges, "runs as-is" guarantees, and edge-case documentation.
Examples: Azure OpenAI chat completion, Semantic Kernel plugin creation, ML.NET model training pipelines.

### /hospital/ — Error Fixes & Debugging
Verified solutions to real production errors sourced from GitHub Issues, StackOverflow, and incident reports.
Examples: CS8032 analyzer errors, HttpClient timeouts in Azure Functions, DI conflicts with SK plugins.

### /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-powered document processor, real-time translation service.

### /news/ — Releases & Ecosystem Updates
SDK release notes, breaking changes, deprecation notices, and ecosystem tooling updates.
Examples: .NET 9 SDK releases, Semantic Kernel changelog, Azure AI SDK updates.

## 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

## 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)

## Contact
- Email: dotnetstudioai@gmail.com
- GitHub: https://github.com/dotnetstudioai
- Twitter: https://twitter.com/dotnetstudioai