Why Clean Architecture's explicit boundaries make it the ideal guardrail for keeping AI coding agents consistent and maintainable.

No API keys. No cloud. Just your documents, a local LLM, and a dream.

Practical advice for experienced developers on adopting AI as a productive, safe companion - not a replacement - with tips for prompts, workflows, and …

While a single generalist AI coding agent can be useful, sometimes it helps to have teams of specialist agents working in coordination.

With agent-driven workflows, you are able to describe an outcome and have the agent figure out the steps to reach that outcome.

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.

Teach your agents how to do specific things - knowledge for repeatable tasks. This is the domain of skills files.

You launch an AI, give it a prompt, and the result generally isn't great. AI agent instruction files help guide your agent to better results.

If you are running your AI locally in something like Open WebUI or OpenCode, you can select from many models. In this post, we'll talk about considerations when …

Explore the real limits of LLM context windows, why infinite growth is impractical, and how to build scalable AI solutions using retrieval, summarization, and …

In this blog post, we explore how to build a Santa Chat application using AI and Retrieval-Augmented Generation (RAG) with the latest Microsoft.Extensions.AI …