Three critical components—tools, memory, and repository context—transform standard LLMs into functional coding agents. Ahead of AI details how these elements enable models to navigate complex codebases and execute precise edits. This architectural framework allows developers to move beyond simple chat interfaces. It shifts the focus toward autonomous, context-aware software engineering workflows.