Three primary pillars—tools, memory, and repository context—enable LLMs to function as effective coding agents. These systems move beyond simple chat by interacting directly with file systems and tracking state. This architecture reduces hallucination and increases autonomy. Developers can now build agents that manage complex refactors without manual prompt engineering.