I’m Lukas Walter, 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.
Engineering Tips
40 concise, searchable notes for .NET, Azure, and production AI systems. New tips are added regularly.
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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
Choose rate-limiting policies by endpoint cost
Apply different ASP.NET Core rate limits to cheap reads and expensive AI or data-processing endpoints.
Design queue handlers for duplicate delivery
Assume a queue message can arrive more than once and make the handler’s business effects safe to repeat.
Use Aspire service discovery instead of hardcoded ports
Let Aspire pass service discovery information so application code can use logical service names instead of local port numbers.
Do not page without deterministic ordering
Give paged database queries a fully unique order so rows with the same sort value cannot move unpredictably between pages.
Validate structured model output before using it
Treat deserialized model output as untrusted data and apply normal business validation before it drives application behavior.