A code review becomes useful when a comment helps you see something you missed. CodeRabbit adds that kind of feedback to pull requests, where your team can discuss it beside the changed code. It also offers editor and terminal tools, but this guide begins with the pull request, or PR, you already need reviewed. A small change to retry behavior gives us an illustrative question to follow: could another attempt repeat a write or outlast the caller’s deadline? From there, you can examine whether a finding leads to a meaningful fix.
Ready guideDocumentation checked
In this guide 7 sections
01Fit
Is it for you?
When it helps
Adding another review pass to a pull request without moving the discussion away from the code
Giving reviewers specific guidance for areas such as API clients or database migrations
When to choose something else
Replacing tests, branch protections or the person responsible for deciding whether a change can merge
Private repositories your organization has not approved for the service to process
02Requirements
Before you start
An account on a supported Git platform with permission to install the repository integration
A repository whose data may be processed under your organization’s policy
Someone able to investigate the comments, with working checks to help determine whether a suspected problem is real
Cost and access
Paid plans are priced per developer and have feature and review limits. CodeRabbit also offers a trial and free reviews for qualifying public repositories; other products may have separate usage billing. Before connecting the team, check which reviews count toward the allowance and what the current plan includes.
The quickstart covers GitHub, GitLab, Azure DevOps and supported Bitbucket deployments. Follow the instructions for your provider using an account that can authorize the integration for the intended repository.
Read the integration’s permissions and data policy before selecting a repository. Keep the existing branch protections and human-review requirements. You will then be able to see what CodeRabbit contributes to the review process the team already uses.
Open a small PR with a description of the behavior you intend and the test results you have. This gives the review a concrete point of comparison. The PR integration handles this workflow; you do not need to install a local command-line tool for it.
Consider a hypothetical client change that retries a request after a timeout. An extra attempt might help a temporary failure, but the first request may already have reached the service. If it performs a write, that raises a question about doing the same work twice. Another question is whether all attempts share the original deadline. These details give you and the reviewer something specific to investigate.
What to ask
Review this client’s timeout and retry change. Could a retry repeat a write, or allow the request to continue past the caller’s deadline? For each suspected problem, show the input and execution path that would produce it so I can check the finding.
Use a small real or synthetic PR whose timeout or retry behavior you understand well enough to inspect. Describe the intended deadline and whether repeating the request can repeat a write. That context lets you distinguish a defect from a behavior the code deliberately allows.
Take a plausible comment back to the source. Follow the input through the path CodeRabbit describes, and try to reproduce the suspected failure with a test. If the comment leaves out a necessary detail, ask about it in the review before changing the implementation.
After making a fix you understand, run the checks and inspect the updated revision. Keep track of findings that helped and suggestions that took time to rule out. Both are part of the cost of adding another reviewer.
Before you rely on the result
You can point to the finding, the behavior it exposed and the check behind the fix. Over several reviews, that is a better basis for keeping the service than the number of comments it leaves. If your existing checks already catch the same issues, include that in the comparison.
05Next steps
Go deeper
Tell the reviewer what matters in different files
A database migration raises different questions from an API client. Path-specific instructions let you explain those concerns for the relevant files. Path filters do something else: they exclude files from review. The full guide includes a configuration example so you can add useful context without accidentally hiding code you wanted examined.
After you push follow-up commits, an incremental review looks at the new changes. A full review makes another pass over the entire change. The command reference explains how to request each; both consume review allowance when they run. Choose according to what is still unclear, such as whether the fix interacts with code from an earlier commit.
Its local review workflow is useful to consider when you want feedback before opening the PR
Your existing human review and CI
Use the team’s existing review and continuous-integration checks as the comparison, including what they catch and how much time they take
07Evidence and scope
Sources and review
Based on official documentation reviewed September 30, 2026. The example is illustrative; this guide does not report an installation, benchmark or production test.