Eight Patterns Every Agentic Engineer Should Know (And Why Most Teams Only Use Two)

There’s a quiet problem unfolding inside most enterprise AI programmes right now. Teams are building “agentic” systems - and most of them are building the same ones - RAG and ReAct based, over and over again. A retrieval-augmented(RAG) agent that answers questions. A ReAct loop that calls a tool when prompted. Both useful. Both well understood. Both barely scratching the surface of what agentic engineering can actually do.