Three critical elements—tools, memory, and repository context—enable LLMs to function as effective coding agents. These components bridge the gap between raw text generation and practical software engineering. Integrating these systems reduces hallucinations and improves code accuracy. Developers can now build more reliable autonomous workflows by focusing on these specific architectural pillars.