I’m Lukas, a software engineer and cloud/AI consultant focused on building robust, scalable systems with .NET and Azure.
I write practical guides on .NET, AI, agents, evaluation, observability, retrieval, testing, guardrails, and Azure.
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Microsoft Agent Framework: Introduction
Where Agent Framework fits in the .NET AI stack, from agents and tools to MCP integration and workflows.
Read the introductionRAG with EF Core and pgvector
Build RAG retrieval in .NET with PostgreSQL, pgvector, and EF Core.
Read the articleObservability for Agents
Trace model calls, tool calls, token usage, and failures with OpenTelemetry, Aspire, and Application Insights.
Read the guideBuild and deploy an MCP server with .NET and Azure Container Apps
Build, containerize, deploy, and call a Streamable HTTP MCP server with the official .NET SDK.
Read the guideLatest posts
Decorating IChatClient Without Tangling the Application
Compose shared chat-client behavior in .NET without moving feature policy into middleware or hiding streaming, caching, and retry costs.
Graceful Degradation for AI Features
How to keep an AI-enabled product useful when a dependency fails, without hiding reduced capability or returning unsafe substitutes.
Querying Qdrant from .NET
Turn a question into an embedding, apply payload filters, query Qdrant from .NET, and inspect the ranked results without treating a similarity score as proof of relevance.
Building the .NET AI App Foundation
A small ASP.NET Core foundation for model access, validated configuration, tracing, buffered and streaming HTTP contracts, and future AI capabilities.
Indexing Your First Documents
Index documents in Qdrant from .NET with Azure OpenAI or local Ollama embeddings, stable point IDs, useful payloads, and a read-back check.