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How to manage multiple AI coding projects on a Mac

Updated · SSS Flow

Managing multiple AI coding projects well is less about running more agents and more about one window per project, consistent naming, and an attention layer that tells you which session is waiting. Keep 2 or 3 projects "hot" at a time, let a session rail show their state, and do a short end-of-day checkpoint in each.

AI coding started as "add an agent to one project". Six weeks in, you have an agent in five projects and no idea which one is waiting for your reply. This guide covers how to set up multiple AI coding projects so you can run several in parallel without losing track - the setup, the limits, and the one tool category most dev stacks are missing.

Five projects on one Mac: three hot with active AI sessions, two idle; a session rail groups them by project

Why do multiple AI coding projects get out of hand?

Each editor only sees its own tabs. Terminal apps only see their own windows. Claude Code and Codex each run in their own session with no central tracker across projects. When you add a project, you add another window to a stack nobody is counting.

The failure is not the AI agent. The failure is the project list: every project is tracked by where it is open, which is a different place for every project.

What goes wrong when you don't have a system?

SymptomWhat it looks like
Lost sessionsA Claude Code session in blog-site has been waiting for permission for 40 minutes. You forgot the window exists.
Dock sprawlSix Cursor windows, three VS Code windows, two Terminal windows - all for projects.
Context jumpsEvery ⌘-Tab lands on the wrong project. You start reading the wrong code, then switch again.
Daily restart penaltyReopening yesterday's setup takes 10 minutes: which project was active, which prompts were open, which agent was mid-task.
Checkpoint driftSome projects are halfway through a plan Claude wrote three days ago. You don't remember if it ran or stopped.

How do you set up projects so you can run several at once?

  1. One project - one window. Decide the home window for each project (Cursor, VS Code, Terminal app, or SwitchStation Workspace) and keep it there. A window always means one project.
  2. Name things once, use the name everywhere. Folder, editor workspace file, repo and the title you give the window all use the same name. Then the window title tells you which project you are in without reading the files.
  3. Keep 2 or 3 projects "hot" at a time. "Hot" means an AI session is active. Everything else is open but idle. Three hot projects is the limit most people can hold in attention. Beyond that, agents wait longer than they work.
  4. Have one place that shows every project's AI state. Without that, you check each window to find the one you need. With it, the sessions tell you where to go.
  5. Checkpoint each project at the end of the day. Commit or stash, write the next step at the top of a notes file, and stop any agent you are not planning to resume. This saves the first ten minutes of tomorrow.

What are the main approaches to managing multi-project AI work?

ApproachWhat it gives youWhat it does not
One Cursor or VS Code window per projectFiles, terminal and preview grouped by projectA heavy editor per project just to hold a terminal; no cross-project AI state
Multi-root workspace (one editor, many folders)One process, many projectsNo way to see which folder's agent is active
Terminal with tabs named after projectsLightweightLoses the file tree and preview; no AI state
macOS Spaces or Stage ManagerVisual separation by projectStill no AI state; you still open windows to check
A session rail across editors (SwitchStation Rail)Every Claude Code and Codex session on your Mac, grouped by project, one click to the right windowDoes not replace the editor, does not run the agent, does not understand prompts

The first four approaches organize the windows. The last approach adds the missing piece: a layer that tracks sessions across windows.

How do you keep attention across projects?

Three options, from lightest to heaviest:

Scale guidance: 1 or 2 projects, pull notifications are enough. 3 to 5, add a rail. 5 or more and you work in them daily, add a project workspace mode for the top two or three.

What are the right limits?

Keep an active-project ceiling, not a project ceiling. SwitchStation Rail Free covers 3 active projects at a time with no time limit; many people find this is the sustainable ceiling anyway. If you have 20 projects on disk, that is fine - most should be idle.

For a related problem (running several Claude Code sessions in one project or across projects), see How to run multiple Claude Code sessions and keep track.

What should you do next?

Pick a window home for each active project. Use one name everywhere. Keep "hot" to 3. Add a session rail when windows alone stop being enough. The number of projects you can run in parallel is not limited by your AI agent - it is limited by how fast you can find the project that needs you.