Components of a Coding Agent (magazine.sebastianraschka.com) AI

Sebastian Raschka explains how “coding agents” work in practice by breaking them into key software components around an LLM—such as repo context, stable prompt caching, structured and validated tool use, and mechanisms for context reduction, session memory, and bounded subagents. The article argues that much of an agent’s real-world capability comes from the surrounding harness (state, tools, execution feedback, and continuity), not just from using a more powerful model.