The original title is "AI coding agents don't have a workspace. Here's what that costs you."

Short summary

AI coding agents today have no shared workspace—each lives in an isolated chat window, forcing developers to rebuild context when switching models or adding agents. The real problem isn't the model itself, but that institutional knowledge—reasoning, attempted approaches, cross-agent learnings—vanishes into non-durable chat histories. A unified workspace would solve this by enabling shared memory between agents, maintaining visible work history, coordinating across tools, and preserving session continuity.

• •Each AI coding agent (Claude Code, ChatGPT, Codex) operates in isolation with no shared workspace or memory between tools
• •Switching models or running multiple agents forces developers to rebuild context—previous decisions and learnings are lost in isolated chat histories
• •A unified workspace would enable shared agent memory, maintain visible work history, coordinate across tools, and preserve session continuity

Generated with AI, which can make mistakes.