Can I run multiple Claude Code sessions at the same time?

Yes. You can run several Claude Code sessions on the same project at once. The catch is coordination: without a shared source of truth, two sessions can grab the same task or edit the same file and conflict. The fix is to point them all at one shared task queue where each task is leased, so the sessions self-divide the work instead of overlapping.

How do I stop multiple Claude Code sessions from colliding?

Give them one shared queue with leasing. When a session calls get_next_task, that task is leased (marked in progress) for a few minutes, so every other session skips it and pulls the next one. No static assignment, no manual coordination — the division is dynamic and self-balancing. If a session crashes, its lease expires and the task returns to the queue. TaskPrio does this out of the box.

How many Claude Code sessions should I run in parallel?

Match it to how much independent work is queued, not a fixed number. Around three to five sessions is a practical sweet spot for a busy backlog — enough parallelism to finish faster without thrashing your machine or your rate limits. With a shared leased queue the split adapts automatically: one session does them in sequence, five run the top five at once.

How do I see what each Claude Code session is doing?

Use a live cockpit. TaskPrio's Sessions view shows every connected agent in real time — which task each is on, which are idle, how many tasks each has completed, and value-per-token — so several parallel sessions stay legible instead of being a black box.

Can I give each session a different role?

Yes. Tag tasks by role and run role-scoped sessions — for example one session that only pulls review tasks and another that only pulls build tasks. Each session then pulls only its kind of work from the shared queue, so you can specialize a fleet without splitting it into separate boards.

How to run multiple Claude Code sessions in parallel

To run several Claude Code sessions at once without them colliding, point them all at one shared task queue. Each session leases the next unclaimed task, so they self-divide the work — no overlap, no coordination overhead — and a live cockpit shows who's on what.

The short answer: parallel Claude Code sessions go wrong when two of them grab the same work. Fix it with one shared, leased queue: a task in progress is invisible to the others, so the sessions dynamically split the backlog. TaskPrio gives you that queue plus a live Sessions cockpit to watch them.

Open the board — free →

The problem with raw parallel sessions

Opening three Claude Code windows on the same repo feels like 3× the speed. Without coordination it usually isn't:

What goes wrong: two sessions pick the same task and do it twice · two sessions edit the same file and produce merge conflicts · you lose track of which window is doing what · tokens burn on duplicated work. The bottleneck stops being the model and becomes coordination.

The fix: one shared queue + leases

Put all the work in a single ranked queue and have every session pull from it. The key is leasing: when a session takes a task, that task is marked in progress for a few minutes, so every other session skips it and pulls the next one down. That gives you:

Dynamic division — not static assignment. You never say "session 1 does tasks 1-10." The split balances itself: a fast session simply pulls more.
Self-scaling — one session works the queue in sequence; five sessions run the top five in parallel. Add or remove sessions freely and the division adapts.
Crash-safety — if a session dies mid-task, its lease expires and the task returns to the queue for someone else.
One source of truth — "what's next?" has a single answer for every session, across every project.

Step by step

Put all the work in one shared queue. Rank it once. (TaskPrio is one global priority queue your sessions all read from.)
Connect each session over MCP. Install once per machine; every Claude Code session on the project can then call get_next_task:
```
curl -fsSL https://promptprio.com/install.sh | sh
```
Open N sessions and start the loop in each. Paste the autopilot prompt in each window — they all pull from the same queue.
They self-divide. Each get_next_task leases the top unclaimed task; the others skip it. No collisions, no manual hand-off.
Watch them in the Sessions cockpit. See which session is on which task, what's idle, throughput per session, and value-per-token — so the fleet stays legible.

Specialize: a session per role

For a bigger backlog you can give each session a job instead of letting all of them pull everything. Tag tasks by role and run role-scoped sessions — e.g. one that only pulls review tasks and one that only pulls build tasks. Each session pulls only its kind of work from the same shared queue, so you specialize a fleet without splitting it into separate boards.

Pipelines: when one task must follow another

Not all work is independent. Mark a task as depending on another (dependsOn) and it stays out of the queue until its prerequisite is done — so "write the migration" only becomes pullable after "design the schema" completes. Parallel where work is independent; ordered where it isn't.

Frequently asked questions

Can I run multiple Claude Code sessions at once?

Yes — on the same project. Point them at one shared, leased queue so they self-divide instead of colliding.

How do I stop them grabbing the same task?

Leasing. A task pulled with get_next_task is marked in progress, so other sessions skip it. If a session crashes, the lease expires and the task returns.

How many should I run?

Match it to queued work; ~3-5 is a practical sweet spot for a busy backlog. The leased queue makes the split adapt to whatever number you run.

How do I see what each is doing?

The live Sessions cockpit shows every connected agent: current task, idle state, throughput, and value-per-token.

Run a fleet free → Run one session autonomously →