Running five Claude Code sessions in parallel without losing your mind
Parallel agents are the single biggest productivity unlock since the agents themselves. They are also the fastest way to turn your machine into an unsupervised zoo. The difference between the two is not the model — it's whether you can answer three questions at any moment:
- Who is working, and who is waiting for me?
- How much context does each session have left?
- Which terminal belongs to which project?
Terminals answer none of these. That's not a criticism — they were never designed for supervising semi-autonomous workers. Here's the workflow that emerged from months of running agent fleets daily, and that AITerm bakes in.
1. One project, one workspace, colors for roles
Group sessions by project, not by launch order. Inside a project, split the workspace — two agents side by side, or an agent above the dev server it's testing against — and tint each terminal. Blue for the feature agent, green for tests, amber for the server. Your eyes learn the map in a day.
2. Trust signals, not glances
An agent that finished and an agent that's been blocked on a permission prompt for twenty minutes look identical in a terminal tab. What you need is a status engine: working (output flowing), waiting for you (quiet + prompt), done, crashed. Surface it as a colored dot per session, a badge on the menu bar, and a macOS notification the moment a session flips to "waiting". Then stop checking. The system checks for you.
3. Budget context like money
Every session has a context window, and the CLI's own numbers are on your disk — each exchange is logged with exact token usage. Put a gauge on top of every terminal, aligned with the auto-compact threshold. Green under 60%, amber to 85%, red above. When a long-running session goes amber, that's your cue to /compact at a natural boundary instead of letting auto-compaction interrupt mid-task.
4. Switch models mid-flight, cheaply
Parallel work makes model choice tactical: heavy model for the gnarly refactor, fast model for the boilerplate agent. Clicking the model name in a session header and having /model typed for you removes just enough friction that you actually do it.
5. Let servers outlive their creators
The classic parallel-agent failure: an agent spawns your dev server, the session ends, the server dies, and a different agent's E2E tests start failing mysteriously. Run servers as project-level services, detached from any agent session, with their ports detected and clickable.
All of this is exactly what AITerm does — it's the tool we wished existed, so we built it. Free 14-day trial, 2.7 MB, no account.