To be fair, the people who abuse this term are also the people who probably fall under this category. I prefer “Agentic Programming” instead. I have pushed thousands of lines of code in production using agentic programming. Code that would have taken me months to write myself now takes merely days.

In this workshop, we’ll explore agentic programming as a disciplined engineering practice, not a toy.
Using Claude Code, I’ll show how to collaborate with AI agents to produce maintainable, reviewable, and production-ready code, without surrendering architectural control, correctness, or performance.

What Claude Code is, how it works, and how you should use it.

Designing clear agent boundaries and responsibilities.

How to turn vague intent into explicit, testable instructions.

Create plans that can run for hours on end, generating and testing code as they go.

This is not a “let the AI take the wheel” session. It’s about teaching the AI to work like a senior engineer, while you stay firmly in charge. If you believe AI coding tools are dangerous, flaky, or fundamentally incompatible with serious software engineering, then this workshop is for you.



A laptop with your favourite IDE installed

Node (we will also cover .NET, but it is optional)

2 Days

Vibe Coding for Production

This hands-on workshop will equip you with practical skills to implement your own MCP servers, clients, and MCP-enabled knowledge bases — and build interactive AI applications that connect your organizational knowledge to advanced AI models in a controlled, secure manner.

Day 1: Foundations — Servers & Knowledge

Introduction to Model Context Protocol and its business applications

Core MCP concepts: Server/client architecture, agents, resources, and tool calling

RAG fundamentals and architecture patterns

Hands-on exercises: Building a local MCP server and RAG pipeline

MCP Apps: Creating interactive AI-powered applications

MCP Clients: Building your own host applications

Deployment options: Remote MCPs, Cloud providers and hosting alternatives

Preparing for production: Security considerations and optimization strategies

Final exercise: Building an MCP App that exposes your knowledge base

Basic Python or JavaScript programming knowledge

Familiarity with AI/ML concepts (helpful but not required)

Laptop with necessary development environment

This training is targeted at developers and people with a medium+ technical skill level and interest for AI.



Bring your laptop with your preferred IDE and either Python or Node installed. We recommend an AI-coding agent like Claude Code, Cursor or GitHub Copilot, but not required!


 
You need access to an LLM provider with an embedding model like OpenAI or Azure Foundry, but you can also use Ollama if you would like to run everything locally and free.

Context Is King: Building AI Apps with MCP & RAG

In this hands-on workshop, you'll build AI agents that can reason about data, use tools, and hold meaningful conversations.

You'll create a personal finance assistant. An agent that understands natural language, retrieves transaction data, maintains memory across conversations, and helps users make better financial decisions.




- Working with Large Language Models: LLM fundamentals, prompt engineering basics, and raw API calls without abstractions.
- Calling AI services from C#.
- Tool calling: Giving agents the ability to take actions and retrieve external data.
- Reasoning loops: How agents think, plan, and iterate.
- Memory and context management: Maintaining state across conversations.

We'll use Azure AI services throughout the workshop, but the patterns and code apply to other providers like OpenAI, Anthropic, and Google.


By the end of this workshop, you'll have:


- A working AI agent integrated into a .NET backend
- Practical experience with tool use and memory
- A clear mental model for when agents add value versus simpler AI approaches
- Confidence to apply these patterns in your own applications


Yes, if you want to move beyond basic AI integration and build something that reasons. 


- Know how to build APIs with C#
- Have some exposure to AI concepts (prompts, completions, embeddings)
- Prefer learning by doing over slides and theory



- Your favourite IDE
- .NET 10
- Docker
- Git and a GitHub account
- An Azure account (expect around 5–10 € of usage)

NDC { AI }

Workshops

09:00 - 17:00 (UTC+01)

Vibe Coding for Production

Nick Chapsas

Context Is King: Building AI Apps with MCP & RAG

Aleksander Stensby

Build Your First AI Agent in .NET

Gui Ferreira