Coding agents use three key components: tools, memory, and repo context to make LLMs work better. By integrating these, they can execute code, recall past actions, and understand repository structure. This approach lets developers automate debugging, feature implementation, and continuous integration tasks. The memory component stores context across sessions, while the tool component calls external APIs for compilation and testing.