Three critical 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 across sessions. Developers must integrate these specific architectural layers to reduce hallucinations and improve the reliability of autonomous code generation in production environments.