A practical roadmap to learn agentic engineering

This article provides a practical roadmap for learning agentic engineering, emphasizing that most engineers start incorrectly by jumping into advanced tools like MCP and multi-agent systems. Instead, it argues for building foundational skills first: working effectively with a single coding agent, providing clear context, defining constraints, and reviewing generated code. The article defines agentic engineering as using AI agents across the entire software engineering workflow, from requirements to testing. It outlines a stage-based approach, starting with mastering one agent before scaling to complex systems, and stresses that agentic engineering is still engineering with unchanged responsibilities.