ShareCube — AI for Software Development

When working with AI coding assistants and agents like Claude Code or Cursor, the generated output usually stays trapped within the interface's walls or messy chat logs. ShareCube solves this friction point by giving your agent's work a persistent URL that any browser can open. Through an MCP server integration, agents can list projects, create artifacts, and return console URLs directly from the chat interface you already use. Instead of forcing teams to sift through lengthy chat threads or inadequate wiki tools, ShareCube provides selection-anchored comments. Threads attach directly to quoted text with specific character ranges, meaning feedback lands precisely on the sentence in question rather than in a detached sidebar. You can organize work into projects, assign viewer, commenter, or editor roles, and search across indexed project content to find prior briefs, specs, and runbooks. The platform offers flat monthly pricing that remains separate from traditional per-seat wiki bloat, starting with a free tier and scaling up to Pro, Team, and Enterprise plans. While tools like Claude and Cursor have internal artifacts and canvases, ShareCube provides an external, vendor-agnostic review layer that keeps your engineering and go-to-market teams aligned. By turning agent output into team input with public, org, or private visibility policies, you can coordinate handoffs efficiently without copying API keys around or changing your existing development workflows.