How many AI coding agents should you run in parallel?

The right number is the number of independent tasks you can supervise and review. A wall of busy terminals is a poor measure of progress if their edits collide or their finished results wait unnoticed. Start with ownership, then set capacity.

Crowie s.r.o.Orchestration

Count independent changes before counting terminals

Two tasks that edit the same schema are not independent just because different agents run them. A frontend change and its unfinished API contract may also need a sequence. Separate repositories can be easier to run side by side, provided your machine and provider accounts have room.

Write down the output each task owns and the inputs it needs. If one output is an input to another task, finish and review the first step before dispatching the second. Concurrency is an execution setting, not a substitute for dependency planning.

Set limits per project and provider

VibeiDE keeps a queue and separate Codex, Claude Code, and OpenCode limits for each repository. Waiting tasks start as capacity becomes available. Workflows reserve the provider capacity they need before execution, so a multi-provider plan is scheduled as a workflow rather than a collection of unrelated launches.

Limits are project-scoped. Three repositories each allowing two Claude tasks can create more total Claude activity than a single repository with the same setting. Consider your total workload across the Launchpad, not just the number displayed on the selected project. OpenCode uses bounded headless execution rather than an interactive terminal.

Leave room for review and provider windows

A task that finishes while you are still reviewing the previous three has added work to a review backlog. The Ready for review stack and completion sounds help you notice that backlog. They do not replace reading the patch or running the relevant checks.

The usage display shows provider-reported consumption and reset countdowns where available. Treat those as planning information. A free process slot says nothing about the provider allowance available for another long request. Do not treat queue limits as rate-limit avoidance or a promise of uninterrupted execution.

Increase capacity after one complete cycle

Begin with one task, inspect its live output, let it finish, and review its result. Next, try two clearly independent tasks and check whether you can still identify what changed and why. Add capacity only if the second run improves useful completed work without increasing conflicts or missed review.

Parallel terminal grids and the global monitor make the work easier to inspect, while task records preserve the prompt and result. The practical goal is a predictable review loop: request, execution, evidence, decision. More agents are useful only when that loop remains understandable.

Explore Run AI coding agents in parallel with clear task ownership, A task queue for your AI coding agents.

Published by Crowie s.r.o.. Product guides use the maintained feature documentation. Weekly updates are assembled from published release notes and maintained Autonomous Agent guidance. Editorial policy.

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