Two-Checkpoint AI Coding: How CORE Workflow Controls Agent Autonomy

Current AI coding agents lack a review checkpoint between task specification and code execution, forcing humans to discover issues only after implementation. The CORE workflow addresses this by inserting human judgment at two critical gates: before the agent acts (plan approval) and after execution (PR review). This pattern enables developers to leverage AI autonomy while maintaining control over high-stakes decisions, reducing rework and preventing scope violations.