Three core components—tools, memory, and repository context—transform standard LLMs into functional coding agents. These systems integrate repo-level indexing to navigate complex codebases. By combining long-term memory with active tool use, agents move beyond simple completions. Developers can now automate refactoring and bug fixes with higher precision and less manual prompting.