Modern AI Stack MCP-RAG-Agent Skills
Building the Modern AI Stack: MCP, RAG, and Agent Skills Explained Introduction Large language models are powerful, but a model by itself is still isolated. It can reason over the prompt it receives, generate text, write code, and make strong inferences, but it does not automatically know what happened in your Slack workspace this morning, what is stored in your private vector database, which files exist in your repository, or how your deployment pipeline is supposed to run. Out of the box, the model is an engine without enough context, a capable planner without live application state, and a fluent assistant without direct access to the tools required to finish real work. That gap is the core design problem behind the modern AI stack. Teams do not only need smarter language models. They need models that can safely connect to external systems, retrieve trustworthy knowledge, and execute useful actions. This is why three extension patterns have become importan...