[KongchangAI]
ProductCode Review

Claude Code Review

An AI code review product launched by Anthropic that uses multiple agents to analyze PR diffs in parallel and generate inline comments and check runs; it only provides findings and does not block merges.

Timeline (last 90 days)

Oct 20

The tiers are capabilities provided by the tool, but the definition of high-risk repositories and paths still needs to be formulated manually.

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Oct 20

Quick mode is suitable for triggering on every push and can quickly identify explicit issues, but it is not good at cross-file implicit dependencies and business-semantics judgments.

Unverified50%
Oct 20

Standard is the default tier; it performs a certain degree of correlation analysis beyond single-file context and has decent recall for common logic errors and interface misuse.

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Oct 20

Deep mode spends more reasoning budget to trace the complete flow of data, check concurrent race conditions, and uncover defects under specific input combinations.

Unverified50%
Oct 20

Most teams are recommended to adopt a two-tier funnel model: Quick for pushes and Standard for PRs.

Unverified50%
Oct 20

Deep mode should not be applied indiscriminately to all repositories and all PRs, otherwise costs will quickly spiral out of control.

Unverified50%
Oct 20

It is recommended to configure tiers according to repository risk profiles: Standard by default for PRs to infrastructure and security repositories, with Deep covering sensitive paths; Quick for pushes and Standard for PRs in business applications; Quick only for experimental repositories.

Unverified50%
Oct 20

The review overhead for each repository is roughly equal to commit frequency multiplied by the per-unit price of the tier, and can be estimated before rollout.

Unverified50%
Oct 20

Before rollout, it is recommended to run a small-scale trial calculation using historical data, counting the number of commits and PRs, running one round at each of the three tiers, and recording token consumption and latency.

Unverified50%
Oct 20

The higher the review tier, the longer developers wait for feedback, and the impact of this delay on iteration cadence is often more direct than the token cost.

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10 more timeline events

All Facts (20)

Unverified

The tiers are capabilities provided by the tool, but the definition of high-risk repositories and paths still needs to be formulated manually.

50%
Unverified

Quick mode is suitable for triggering on every push and can quickly identify explicit issues, but it is not good at cross-file implicit dependencies and business-semantics judgments.

50%
Unverified

Standard is the default tier; it performs a certain degree of correlation analysis beyond single-file context and has decent recall for common logic errors and interface misuse.

50%
Unverified

Deep mode spends more reasoning budget to trace the complete flow of data, check concurrent race conditions, and uncover defects under specific input combinations.

50%
Unverified

Most teams are recommended to adopt a two-tier funnel model: Quick for pushes and Standard for PRs.

50%
Unverified

Deep mode should not be applied indiscriminately to all repositories and all PRs, otherwise costs will quickly spiral out of control.

50%
Unverified

It is recommended to configure tiers according to repository risk profiles: Standard by default for PRs to infrastructure and security repositories, with Deep covering sensitive paths; Quick for pushes and Standard for PRs in business applications; Quick only for experimental repositories.

50%
Unverified

The review overhead for each repository is roughly equal to commit frequency multiplied by the per-unit price of the tier, and can be estimated before rollout.

50%
Unverified

Before rollout, it is recommended to run a small-scale trial calculation using historical data, counting the number of commits and PRs, running one round at each of the three tiers, and recording token consumption and latency.

50%
Unverified

The higher the review tier, the longer developers wait for feedback, and the impact of this delay on iteration cadence is often more direct than the token cost.

50%
Unverified

Hosted Claude Code Review runs read-only on Anthropic infrastructure, does not build or execute code, verifies findings through a validation step before reporting, and offers three review levels: Quick, Standard and Deep.

50%
Unverified

After enabling reviews.request_changes_workflow, CodeRabbit can formally approve a PR via @coderabbitai approve and can serve as a required reviewer in a merge gate; whereas Claude Code Review's check run only ever ends as neutral or skipped, never marking as failed, so it cannot directly serve as a required reviewer.

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Unverified

The "$15-25 per review" figure mentioned in earlier articles came from an article at the time of the March 2026 preview launch and is not content on the current official pricing page; the official page explicitly has no fixed per-review price.

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Unverified

Repositories added from the Claude admin page default to a "review after every push" mode, which multiplies costs with the number of pushes, and teams should actively adjust it.

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Unverified

Claude Code Review is much more expensive than any other code review product on the market.

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Unverified

Claude Code Review, the code review product used internally at Anthropic, has been opened up to all users.

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Unverified

Claude Code Review's bug detection accuracy is roughly between 98% and 99%.

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Unverified

Compared with the preview stage, most Code Review reviews are now about 3 times faster, dropping from about 20 minutes to 6 to 10 minutes.

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Unverified

Claude Code Review has launched three review tiers: Quick, Standard, and Deep.

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Unverified

Anthropic's hosted Claude Code Review service ended its research preview on October 15, 2026, is available to Team and Enterprise organizations, does not support Pro and Max plans, and is not available to organizations with zero data retention enabled, HIPAA configurations, or CMEK.

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