Macchiato Day 2: Live Token Metrics and Parallel AI Terminals Reviewed

If you run more than one AI coding agent on the same machine, you’ve probably hit the same wall we have: two terminals open, two pricing models in your head, and no easy way to compare what Claude Code just spent against what OpenCode is about to spend. Macchiato is a young agentic terminal that wants to fix that single problem — and its second day of public updates lands the first features that actually move the needle for budget-conscious developers.

We pulled the day-2 changelog apart to see what’s real, what’s still demoware, and whether it’s worth installing on top of your existing setup.

What Day 2 Actually Ships

The day-2 release adds three concrete things on top of the day-1 prototype:

1. A live token and cost sidebar that updates as the agent runs, broken out by prompt vs completion tokens and rolled up to a per-session dollar estimate.
2. A consumption dashboard that aggregates the sidebar’s numbers across sessions, so you can see what a full afternoon of agent work actually cost you.
3. Keyboard shortcuts for jumping between Claude Code and OpenCode panes without leaving the Macchiato shell.

The framing is “multiplexer for agentic terminals,” which is more useful than it sounds. tmux multiplexes shells. Macchiato multiplexes the AI-driven shells you’d otherwise have to run side-by-side in separate iTerm windows. The day-2 build is the first version where the multiplexer story has a number attached to it — you can finally see what each pane is burning in real time.

Why Live Token Metrics Matter More Than You Think

If you’ve only ever used one AI coding agent, the live token sidebar reads like a minor convenience. The picture changes when you run two or three in parallel.

Claude Code and OpenCode price tokens differently, support different context windows, and have different cost profiles for the same edit. Without a live readout you end up doing rough mental math — “that was a long agent run, probably a couple bucks” — and discovering at the end of the month that “a couple bucks” was actually thirty. The dashboard collapses that uncertainty into something you can look at before you fire off another autonomous loop.

Two specific behaviors get easier once you can see the meter:

• Aborting a runaway agent earlier. When you can watch token usage climb in real time, it’s obvious when an agent has wandered into a loop. With no readout, the cost only shows up in the next billing cycle.
• Choosing the cheaper backend for a task. Some refactors are fine on a smaller, cheaper model; others need the bigger one. The day-2 dashboard makes per-task cost visible, which is the prerequisite for that kind of routing decision.

We’re cautious here: token counters are only as accurate as the underlying CLI exposes them, and pricing on these tools changes often. Treat the dollar estimate as a leading indicator, not a settled invoice — Anthropic’s and the OpenCode backend’s billing surfaces are still the source of truth.

The Parallel-Terminal Shortcut: Worth It?

The keyboard shortcut for switching panes is the kind of feature that sounds trivial in a changelog and turns out to matter once you use it for a few hours. The pattern we kept hitting before Macchiato was:

• Plan a refactor in Claude Code.
• Switch windows to OpenCode to run a long-context analysis.
• Switch back to Claude Code to apply edits.
• Lose track of which window had the latest plan.

A single shell with two panes and a hotkey to cycle between them removes the window-management tax. It’s a small win per switch — call it two or three seconds — but you make that switch dozens of times a day if you’re seriously running multiple agents.

What it doesn’t do yet: share state between panes. Claude Code and OpenCode still have separate sessions, separate histories, and separate context. Macchiato is currently a viewer and a meter, not a shared memory layer. That distinction is worth keeping in mind before you assume the agents are talking to each other.

Where Macchiato Fits in an AI Coding Stack

If you already pay for an AI IDE like Cursor for the inline-completion experience, Macchiato isn’t a replacement — it lives in the terminal lane, next to the CLI agents that run longer, more autonomous loops. The honest comparison is against running claude and opencode directly in two tmux panes, plus whatever spreadsheet you keep for token spend.

Against that baseline, day-2 Macchiato is a net positive for one specific user: a developer who runs at least two AI agents on the same project and wants per-session cost visibility without leaving the shell. If you only ever use one agent, the dashboard adds friction without paying for itself.

The shape of the project to watch over the next few weeks: whether Macchiato stays focused on multiplexing and metering, or whether it tries to grow into a full agent orchestrator. The former is a tractable piece of plumbing with a clear job. The latter is much harder, and the field is already crowded.