The Continuity Problem: Why Bigger Context Windows Won't Fix Coding Agents

Coding agents waste resources reconstructing project context with each new session instead of continuing from where they left off. While larger context windows provide more information, they fail to preserve execution history and project state—a critical distinction showing that context (available data) and continuity (uninterrupted progress) are fundamentally different problems. This reveals that advancing AI coding agents requires smarter state management rather than raw memory expansion.