Building a Local RAG Q&A Tool in .NET with LlamaSharp
No API keys. No cloud. Just your documents, a local LLM, and a dream.
Read more →No API keys. No cloud. Just your documents, a local LLM, and a dream.
Read more →Testcontainers spins up real database containers for your .NET integration tests — the same database version on every machine and every CI run, with no manual setup.
Read more →Practical advice for experienced developers on adopting AI as a productive, safe companion - not a replacement - with tips for prompts, workflows, and safeguards.
Read more →Let's walk through a practical implementation of a modular monolith project in .NET
Read more →While a single generalist AI coding agent can be useful, sometimes it helps to have teams of specialist agents working in coordination.
Read more →Ardalis, Barret, Michelle, and Sadukie presented this year, and we were all in attendance. In this post, we're sharing some of our adventures from Stir Trek 2026.
Read more →In this recap we walk through the key take‑aways from the Domain Events webinar, highlighting patterns, best practices and real‑world use cases.
Read more →With agent-driven workflows, you are able to describe an outcome and have the agent figure out the steps to reach that outcome.
Read more →There are things that an AI coding agent simply isn't capable of doing out of the box. This is where MCP servers come in.
Read more →Teach your agents how to do specific things - knowledge for repeatable tasks. This is the domain of skills files.
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