Claude Code /ultrareview: Pricing, Features & Alternatives

What is Claude Code /ultrareview?

Claude Code /ultrareview runs a deep, multi-agent code review in the cloud to find and verify bugs before you merge. Available to Claude Code Pro and Max users, it spins up parallel reviewer agents in a remote sandbox that independently verify bugs in your branch or pull request — so reviews are thorough without consuming your local resources. Note: /ultrareview is now a deprecated alias for the /code-review ultra command, which performs the same cloud review.

What is Claude Code /ultrareview used for?

AI tool for chat bot workflows

How much does Claude Code /ultrareview cost?

Included with Claude Code Pro/Max

Price not published

Available to Claude Code Pro and Max subscribers; cloud reviews are user-triggered and billed against your plan.

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Pros and cons

Pros

• Runs a deep, multi-agent code review in the cloud • Parallel reviewer agents independently verify bugs before you merge • Offloads heavy review work to a remote sandbox, sparing local resources • Covers your current branch or a specific pull request • Built into Claude Code for Pro and Max plans

Cons

• Requires a Claude Code Pro or Max subscription • /ultrareview is deprecated — use /code-review ultra instead • Cloud review is billed and user-triggered, not automatic

Questions about Claude Code /ultrareview

What does /ultrareview do?

It launches a deep, multi-agent code review in the cloud, using parallel agents to independently find and verify bugs in your branch or PR before merging.

Is /ultrareview still the right command?

It's now a deprecated alias; the current command is /code-review ultra, which runs the same cloud review.

Who can use it?

Claude Code users on the Pro or Max plans.

Does it run on my local machine?

No. Reviewer agents run in a remote cloud sandbox, so it doesn't tie up your local resources.

What are the best alternatives to Claude Code /ultrareview?

Compare this tool against close alternatives in the same category, focusing on output quality, onboarding speed, and workflow fit.

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