Generative AI for Beginners .NET is a hands-on course that teaches .NET developers to build applications using generative AI models and related tools. Its lessons use practical samples covering scenarios such as chat, audio transcription, agents, and local AI. The catalogue entries are add-ons associated with the course repository.
Borrowing it
Nothing to install: this file belongs to microsoft/Generative-AI-for-beginners-dotnet. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/microsoft/Generative-AI-for-beginners-dotnet/main/AGENTS.mdgit clone --depth 1 https://github.com/microsoft/Generative-AI-for-beginners-dotnetWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/microsoft/generative-ai-for-beginners-dotnet/agents-md)<a href="https://agentmods.dev/instructions/microsoft/generative-ai-for-beginners-dotnet/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/generative-ai-for-beginners-dotnet/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/microsoft/generative-ai-for-beginners-dotnet/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/generative-ai-for-beginners-dotnet/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.05371 | $0.05371 |
| Opus 5.5 | $0.02148 | $0.02148 |
| Sonnet 5.5 | $0.01074 | $0.01074 |
| Haiku 4.5 | $0.00537 | $0.00537 |
Grade A, and why
Generative-AI-for-beginners-dotnet AGENTS.md scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:11434/api/version How it starts
The opening of the file, as written. The whole thing — 557 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project Overview
This repository contains Generative AI for Beginners .NET - a hands-on course teaching .NET developers how to build Generative AI applications. The course focuses on practical, runnable code samples and real-world applications.
Architecture
- Lesson-based structure: Organized in numbered folders (01-05) containing lesson documentation
- Centralized samples: All code samples live in the
samples/directory, organized by category - Multi-language support: Course materials translated into 8 languages (located in
translations/) - Sample applications: Full-featured AI-powered apps demonstrating practical GenAI integration
- Key technologies: .NET 10+, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework, Azure OpenAI, Ollama
Project Structure
.
├── 01-IntroductionToGenerativeAI/ # Introduction to Generative AI + setup guides
├── 02-GenerativeAITechniques/ # Text completions, streaming, function calling, middleware
├── 03-AIPatternsAndApplications/ # Embeddings, RAG, vision, combining patterns
├── 04-AgentsWithMAF/ # Microsoft Agent Framework + MCP
├── 05-ResponsibleAI/ # Responsible AI practices
├── samples/
│ ├── CoreSamples/ # Core technique samples (chat, vision, RAG, functions, etc.)
│ │ └── CoreGenerativeAITechniques.sln
│ ├── MAF/ # Microsoft Agent Framework samples (25+ projects)
│ │ └── MAF-Demos.slnx
│ ├── AppsWithGenAI/ # Full AI-powered applications
│ │ ├── SpaceAINet/ # AI-powered Space Battle game
│ │ ├── HFMCP.GenImage/ # Image generation Aspire app
│ │ └── ConsoleGpuViewer/ # GPU viewer console app
│ └── PracticalSamples/ # Aspire MCP sample
│ └── Aspire.MCP.Sample.sln
├── infra/ # Azure Bicep infrastructure
├── translations/ # Localized course materials (8 languages)
└── images/ # Course branding assets
Each lesson folder contains:
- readme.md: Lesson documentation with step-by-step guidance
- images/: Visual assets
- Setup guides (in lesson 01)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed · +11 lines · +145 tokens per session 221d2cdb1c66
- 1mo ago First seen · 546 lines · 5,226 tokens per session scan A de86cb9c3c2d
Generative-AI-for-beginners-dotnet AGENTS.md is an instructions file published in the GitHub repository microsoft/Generative-AI-for-beginners-dotnet (3,136 stars, last pushed 3d ago), licensed MIT. It adds 5,371 tokens to every session, about $0.0215 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.