A control plane for Claude Code from a network nerd who doesn't write code (github.com)

A new architecture pattern for Claude Code, an AI coding tool, has been proposed to enhance operational reliability for infrastructure professionals who may not have traditional coding backgrounds. This "control plane" framework aims to address the inherent limitations of Claude Code, which is a stateless execution engine lacking memory and contextual awareness. By integrating a human operator's domain knowledge with the AI's rapid execution capabilities, the control plane ensures more reliable and context-aware development processes. The architecture introduces several layers: a policy layer to define behavioral rules, a state layer to track project context across sessions, and a validation layer to enforce quality checks through automated hooks. This structure allows knowledge and best practices to persist beyond individual sessions, preventing repetitive errors often made by the AI due to its stateless nature. The control plane operates alongside project repositories, securing operational instructions in a private context repository, and enabling an enhanced synergy between planning and execution. This systematic approach promises to better equip sysadmins and infrastructure specialists in utilizing AI coding tools effectively, ultimately contributing to a more structured development environment in AI/ML ventures.