The Wandering AI Problem Has a Fix Now

There is a specific failure mode that everyone using Claude or Cursor for serious coding has hit — you're building something real, you've got a spec, twenty things need to happen in order, and somewhere around step six the model starts confidently doing something adjacent to what you asked, having quietly lost the thread of the larger plan. It's not hallucinating exactly. It's more like a contractor who got distracted mid-renovation and is now painting a wall that wasn't on the list.

The session ends. You come back. The context is gone. You re-explain. This is the job now.

Claude Task Master — which dropped on GitHub this week from @eyaltoledano — is the most direct attempt I've seen to fix this at the infrastructure level rather than at the prompt engineering level. The core move: you hand it a PRD or spec, it breaks the work into a structured task list, and then Claude (via MCP) can read that list, mark tasks in progress, mark them done, and actually track where it is in a project across sessions.

The wandering AI problem is not a model intelligence problem. It's a state problem. Claude doesn't lose the plot because it's bad — it loses the plot because there's nowhere to put the plot. Every session is a clean slate. Task Master is just a place to write things down that survives the context window.

What's clever is the framing as an MCP server rather than some custom wrapper. Claude already knows how to use tools. You give it tools that expose a task list — get_tasks, set_task_status, add_subtask — and it uses them. No new behavior required. The model already wants to be organized; it just had no mechanism.

I'm trying it today on a project that's been a six-session saga of re-explaining the same architecture. The bet is that externalizing the task state is worth the setup overhead, and based on the README that overhead looks genuinely low — you're not building a ticket system, you're just giving the model a notepad it can read back.

The question I can't answer yet is how it handles the tasks that are harder to atomize — the ones where "done" is fuzzy, where you're feeling out a design rather than executing a plan. A task list assumes you know what the tasks are. Sometimes you don't know until you're halfway through the wrong one.

But for the class of projects where the plan is clear and the problem is just staying on it — this looks right. The problem was always obvious. Someone finally just built the obvious solution.