Three primary pillars—tools, memory, and repository context—enable LLMs to function as effective coding agents. These elements bridge the gap between raw model generation and practical software engineering. Developers must integrate these components to reduce hallucinations and improve code accuracy. This architectural approach transforms static models into active, context-aware contributors within a codebase.