Three critical pillars—tool use, memory, and repository context—enable LLMs to function as effective coding agents. These components allow models to interact with file systems and recall previous edits. Developers must integrate these specific architectural patterns to move beyond simple chat interfaces. This shift transforms static code completion into autonomous software engineering.