[Gingiris1031]

The kanban-as-task-queue framing for AI agents is smart — it forces you to decompose work before handing it off, which tends to produce much better outputs than free-form chat. One challenge we ran into with multi-repo agent workflows is context window management when files across repos have conflicting conventions. Does Hive do anything to normalize context before feeding it to the agent?

[moropex]

so the way hive handles cross repos, is by creating a temporary directory, with symlinks to the original worktrees. For all the model cares and knows, hes working on a mono repo of x projects, and is able to navigate it the way it knows best. All edits he does - are then propagated to the original worktrees in their original folders. So you kind of get the best of both worlds (without requiring you to feed the context manually)