About the Publication
DotNetStudioAI — where .NET
meets production
AI.
Not another tutorial farm. DotNetStudioAI is a developer platform built by Rajesh Mishra, publishing deeply researched, production-tested guides on Semantic Kernel, Azure OpenAI, RAG patterns, and AI agents — purpose-built for C# and .NET developers.
About the Author
Rajesh Mishra is a senior .NET engineer with over 13 years of experience building and modernizing enterprise systems. His work spans backend architecture, cloud migration, and integrating AI into production environments — particularly in regulated, high-availability contexts where reliability matters more than speed-to-demo.
His engineering background includes designing orchestration services, stabilizing critical reporting platforms, and building developer tooling that reduces manual overhead at scale. More recently, his focus has shifted toward applying generative AI and modern .NET abstractions to real production problems — not prototypes.
DotNetStudioAI reflects his philosophy: clarity over hype, production reliability over quick demos, and real-world patterns that hold up under scale.
- 4
- Content Pillars
- .NET 8+
- LTS Focused
- 100%
- Compiled & Tested Code
- 0
- AI-generated filler
What makes DotNetStudioAI different
There is no shortage of .NET content online. Here is why this publication is worth your time.
Version-Pinned Everything
Every article specifies the exact .NET version and SDK version it was tested against. You will never land on a guide and have to guess whether the code applies to your project.
Compiled, Not Just Written
Code blocks are not written from memory or autocomplete suggestions. Every snippet is compiled against the stated SDK versions and verified to work before publishing.
Signal-Sourced Content
Hospital articles trace to real GitHub Issues and StackOverflow threads. News articles link to official release sources. Nothing is manufactured from vague impressions of a topic.
Four pillars, one coherent system
Content is not organized by tag clouds or random categories. Each pillar serves a specific developer need and has its own editorial standard.
University
Long-form conceptual guides organized into structured learning paths — architecture patterns, SDK internals, and mental models that stay relevant across SDK versions.
Hospital
Debugging fixes sourced from real incidents. Root cause analysis included in every article, linked to GitHub Issues, StackOverflow threads, and NuGet advisories.
Workshop
End-to-end project tutorials that take a project from empty directory to deployed production app. No toy demos — all examples deploy to real Azure infrastructure.
News
SDK releases, breaking changes, and ecosystem updates with context. Not just the changelog — but what it means for your day-to-day .NET + AI development.
Technical background — Rajesh Mishra
DotNetStudioAI is maintained by Rajesh Mishra, a senior .NET architect with over 13 years of experience shipping backend systems and AI-powered features to production on Azure. The focus areas that inform every article:
C# / .NET 8+ / ASP.NET Core
Primary platform — every code sample targets the current LTS release
Semantic Kernel & AI orchestration
Plugins, planners, memory connectors, process framework
Azure OpenAI SDK for .NET
Chat completion, embeddings, streaming, function calling
ML.NET & ONNX Runtime
On-device inference, custom model loading, pipeline APIs
Azure AI Search + Cosmos DB
Vector search patterns, RAG architecture, hybrid search
Ollama & local LLM integration
Platform-agnostic patterns, Microsoft.Extensions.AI abstractions
Editorial standards
Every article published on DotNetStudioAI meets the following minimum bar before it goes live:
- Code is compiled against the stated SDK version — not guessed or paraphrased
- NuGet package versions are explicit — no 'latest' version ambiguity
- Each article includes at least 3 FAQs addressing the real questions developers ask
- Hospital articles link to the originating GitHub Issue or StackOverflow thread
- News articles cite the official release page or changelog directly
- Articles targeting .NET 8 LTS note compatibility with .NET 9/10 where relevant
- Machine-readable LLM summary included — key takeaways and implementation checklist
Get in touch
Found an error in an article? Have a topic you want covered? Want to discuss a collaboration? Reach out directly.
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