Aikido bundles application security across code, dependencies, cloud, containers and other surfaces. CodeRabbit focuses on PR and local review. Their subscriptions buy different coverage, so replacing an AppSec platform with a diff reviewer would leave a separate requirement unresolved.
Code Review Guide · Reviewed October 14, 2026 · Published by Perch / Verglas LLC
CodeRabbit and Aikido Security at a glance
Documented review inputs, requirements and licensing
Decision
CodeRabbit
Aikido Security
Review scope
Pull requests, local changes, and agent-loop review.
Broad AppSec platform including cloud, containers, DAST and runtime security.
Local review input
CLI and IDE review committed and uncommitted changes.
CLI scans code, dependencies, IaC and secrets.
Custom requirements
Guideline files and natural-language pre-merge checks; custom-check allowances depend on plan.
English AI custom code rules and security configuration.
Compare an AppSec bundle with a dedicated reviewer
List the security surfaces the team needs, then test an application change in both review workflows. Separate bundled security coverage from the custom code requirement under evaluation.
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.
Basic: $300/month; Pro: $600/month, including 10 users. Annual billing advertises a discount.
Developer is free for 2 users and 10 repositories. Paid prices cover a much broader security bundle than Perch's semantic checks; no equal-coverage saving is assumed.
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 a focused project behavior rule during editing. It can add that check while the existing security platform handles its broader surfaces.
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.
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.
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
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.
Record each tool’s configuration, reviewed files, review effort, findings and false positives. Record cost and elapsed time from the actual run.
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.
Sources and related comparisons
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.