Coding agents use three core components: tools, memory, and repo context. By integrating these elements, the agents can execute code, recall past interactions, and understand repository structure, turning raw LLMs into practical coding assistants. Developers can adopt these components to improve productivity and reduce debugging overhead. The approach also supports modular tool integration, allowing teams to plug in specialized APIs.