Code Review GuideTools & workflows

AI code review head-to-head library

CodeRabbit vs Metabob

Metabob exposes codebase search and issue-priority tools through MCP, with full-repository analysis on Enterprise. CodeRabbit provides PR, IDE and local-change review. Decide whether the agent needs codebase issue context or feedback on the current edit.

Code Review Guide · Reviewed October 14, 2026 · Published by Perch / Verglas LLC

CodeRabbit and Metabob at a glance

Documented review inputs, requirements and licensing
DecisionCodeRabbitMetabob
Review scopePull requests, local changes, and agent-loop review.AI analysis and review for agents and PRs; full repositories on Enterprise.
Local review inputCLI and IDE review committed and uncommitted changes.MCP exposes issue-priority and codebase-search tools; standalone CLI was not verified.
Custom requirementsGuideline files and natural-language pre-merge checks; custom-check allowances depend on plan.Custom agents on Pro; a saved semantic-rule format was not verified.
License and serviceCommercial review service.Commercial analysis platform.
Official referencesCodeRabbit sourcesMetabob sources

Compare codebase issue analysis with change-focused review

Inspect an existing codebase issue and a newly introduced regression separately. Confirm the required repository-analysis entitlement instead of inferring a per-review cost from a monthly plan.

CodeRabbit billing

Essentials: $24/user/month billed annually, or $30 monthly. Public-repository reviews are free.

Essentials annual subscription floor; 1 repository and 5 included reviews/developer/hour. Eligible extra reviews cost 25¢ per reviewed file. Built-in checks are included; custom pre-merge checks start on Team.

CodeRabbit plan sources and workload assumptions

Metabob billing

Pro: $40/month; Team: $50/month. Enterprise is custom.

Plan prices are subscription amounts; a per-review price was not verified. Enterprise full-repository analysis needs a quote.

Metabob plan sources and workload assumptions

Subscription amounts are plan floors or quoted allowances. Repeated reviews, selected effort, provider charges and exclusions can change the bill. Equal review counts do not establish equal analysis scope.

A third option for the agent’s next edit

When Perch is the better choice

Perch is a stronger fit for turning a recurring issue into a saved English requirement. Check the edited method and retain the rule for later agent changes.

For an agent that repeatedly removes tenant authorization from a database update, save the requirement as a named Perch rule:

- name: tenant-scoped-update
  where: "orders.py"
  ensure: >-
    The cancellation UPDATE must constrain tenant_id to actor.tenant_id
    before changing the order. An id-only or owner-only update breaks
    this requirement.

This requirement comes from the FastAPI tenant-authorization recipe, which includes the implementation, deliberate regression and captured Perch checks. The same named check can run against the working file after the next agent edit. Perch working-file checks support selecting rules directly; rule selectors cover project, file and method scope.

Install, configure the agent, check and repair

npm install -g @lakeday/perch
perch login
perch setup claude-code
# Or choose: perch setup codex
# Or choose: perch setup cursor

Use the setup command for your coding agent. Download the focused pack without replacing existing files:

curl -fL 'https://reporules.fyi/fastapi/tenant-cancellation/rule-pack.zip' -o tenant-rule.zip
unzip -n tenant-rule.zip
perch check orders.py --rules tenant-scoped-update --json
# Repair the reported finding after the agent edit.
perch check orders.py --rules tenant-scoped-update --json

Keep your existing root perch.yaml. The ZIP adds its focused rule under .perch/rules/; unzip -n preserves existing files. Review and adapt the selector and application path before running it in your repository. Run the saved check after an edit, repair any finding, and repeat the identical check alongside application regression tests.

Download the tenant-authorization rule pack · Inspect pack contents and agent task

Pay for fresh checks, reuse unchanged answers

Perch charges 10¢ per 1,000 fresh rule checks, with no developer seat fees. Cached unchanged checks are free. About 50¢ per mid-sized PR is a rounded estimate for approximately 150 methods read at the captured September–October 2026 density of 34 questions per method; the unrounded example is 51¢. A single named-rule check is a different scope. Team workload calculations show the assumptions.

The Perch CLI is MIT licensed; hosted analysis is paid and relevant source is sent to the configured model service. Fresh model judgments can vary. Unchanged requests can reuse cached results.

Test the same requirement before choosing

  1. Use one authorized public change with a known regression and a clean control. Pin the base and reviewed code, and keep the documented requirement available to both tools.
  2. Record each tool’s configuration, reviewed files, review effort, findings and false positives. Record cost and elapsed time from the actual run.
  3. Repair the regression and repeat the relevant review. For Perch, preserve existing configuration, run the saved rule after the edit, and repeat the same check after repairing a finding.

This article compares documented product workflows and terms. The public evaluation materials include captured Perch requirement checks; authenticated CodeRabbit and Greptile runs remain unscored. They do not establish a measured accuracy ranking between these tools.

Reviewed October 14, 2026. Unverified features are marked as unverified rather than treated as absent. Current terms and actual trial results should determine a purchase.

CodeRabbit documentation

Metabob documentation

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