Three critical components—tools, memory, and repository context—transform standard LLMs into functional coding agents. By integrating these elements, agents move beyond simple text generation to active codebase manipulation. This framework allows Ahead of AI to detail how agents maintain state across large projects. Developers can now build more reliable autonomous workflows for software engineering.