Three primary components—tools, memory, and repository context—enable LLMs to function as effective coding agents. These systems move beyond simple chat by integrating direct codebase access and state tracking. This architecture reduces hallucination rates during complex refactoring. Developers can now build more reliable autonomous workflows by optimizing how agents retrieve local project data.