Three critical components—tools, memory, and repository context—determine how LLMs perform complex software engineering tasks. These elements allow agents to navigate large codebases and maintain state across multiple edits. Developers must optimize these integrations to reduce hallucination rates. This structural approach transforms a generic model into a functional, autonomous coding assistant.