How to run several Claude Code sessions in parallel without them stepping on each other
One Claude Code session is a pair programmer. Four of them is a small team, and a team needs a little structure, or you spend the afternoon untangling two agents that edited the same file. This is the setup that works: plain git and tmux first, then the same thing with a desktop app if you'd rather not manage it by hand. What goes wrong when you just open more terminals Three things, in this…
Claude Code sessions are like pair programmers; running multiple sessions simultaneously requires structure to avoid conflicts. The recommended setup involves using git worktrees and tmux (or a desktop app) for organization. Each session should focus on a single task and have its own git worktree, branch, and directory. This prevents collisions where two sessions edit the same files, leading to one agent's changes being overwritten accidentally.
To manage attention, give each session a clear name and place within tmux. One window per task is sufficient, named accordingly. This makes it easy to keep track of what each session is doing and prevents you from missing notifications or prompts from a stopped session.
When a session is finished, treat its branch like a pull request from a teammate. Merge it and clean up the worktree. You can view all active sessions with `git worktree list` and remove any that are no longer needed with `git worktree prune`.
Using a desktop app like Moontors can simplify this process. It creates a card for each session on a board, streams the agent's work, and provides easy controls to start or stop tasks. The app supports multiple AI models and runs in the background, allowing you to check on sessions from any device.
In summary, by following these guidelines—assigning one task per session, using git worktrees, naming sessions, setting appropriate permissions, and monitoring session limits—you can run Claude Code sessions in parallel without them interfering with each other.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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