Three pillars—tools, memory, and repository context—determine the success of coding agents. Integrating these elements allows LLMs to navigate complex codebases and maintain state across long sessions. Developers must prioritize high-fidelity context retrieval over raw model size. This architecture transforms a simple chat interface into a functional software engineer capable of autonomous task execution.