AI coding agents lack shared workspace, costing developer productivity

Developers frequently switch AI coding models, losing custom rules and context each time. The real issue isn't the model but the absence of a persistent workspace that preserves decisions and history across sessions. A dedicated workspace would enable shared memory, visible work, and continuity across multiple agents and models.