Can Claude Code Review PRs? How to Review a Pull Request with Claude Code (Step by Step)
Yes, Claude Code can review Pull Requests. Learn three ways to review a PR with Claude Code: pre-push branch reviews, GitHub CLI PR reviews and repeatable claude -p reviews, with copy-ready prompts.
Most people searching "can Claude Code review PRs" have already tried pasting a diff into a chat and got a generic answer. The difference between a useless review and a useful one is not the model — it is the context, the scope and the output format you give it. This guide shows three practical ways to review a PR with Claude Code, a prompt you can copy, and where the manual workflow starts to hurt.
What you need
- Claude Code installed and signed in (run
claudeonce in a terminal). - A local clone of the repository you want to review.
- The GitHub CLI (
gh) authenticated withgh auth login— only for reviewing PRs that already exist.
Way 1: Review your branch before you push
The cheapest bug is the one that never reaches a Pull Request. From your feature branch, start Claude Code and ask it to review what changed compared with main.
git fetch origin
claude "Review the changes on this branch compared with origin/main.
Run git diff origin/main...HEAD to see them.
For every modified function, check its callers and its tests.
Report bugs, security issues and missing tests. Do not edit files."Claude Code also ships a built-in /review slash command you can type inside a session. It is a good starting point, but the explicit prompt above gives you more control over scope.
Way 2: Review an existing Pull Request with the GitHub CLI
To review a teammate's PR, check it out locally so Claude Code can read the full code, not just the patch. Then let it read the PR description and comments — the intent matters as much as the diff.
gh pr checkout 123
claude "Review PR #123.
First run: gh pr view 123 --comments
Then run: gh pr diff 123
Check whether the change does what the description says.
Read callers and tests outside the diff.
List findings with file, line, severity and a suggested fix.
Do not post anything to GitHub."Way 3: Non-interactive reviews with claude -p
Print mode (-p) runs a single prompt and exits, which makes reviews repeatable and easy to save to a file. Restricting tools keeps the review read-only.
git diff origin/main...HEAD > /tmp/changes.diff
claude -p "Review the diff in /tmp/changes.diff against this repository.
Return markdown: verdict, then findings with file, line, severity, fix." \
--allowedTools "Read,Grep,Glob" > review.mdHow to use Claude Code for code review: a prompt that works
Whatever way you choose, a good review prompt covers four things:
- Scope — exactly which changes to review (branch vs main, or PR number).
- Context outside the diff — callers, tests, related modules.
- Your rules — architecture boundaries, security checks, conventions.
- A fixed output format — so every review is easy to scan.
You are reviewing a Pull Request in this repository.
1. Read the diff and the PR description.
2. For each changed function, read its callers and tests.
3. Check: correctness, authorization on new endpoints,
input validation, error handling, missing tests.
4. Ignore pure style issues unless they break a project rule.
Output:
## Verdict: approve | request changes
## Findings
- [severity] path/to/file.ts:42 — problem — suggested fixMake it better with a review skill
Typing your rules into every prompt does not scale. Claude Code skills let you store them once in a SKILL.md file that Claude loads when it reviews code. Our step-by-step guide covers how to create, install and activate a Claude Code review skill, and you can split the work into security, performance and architecture subagents.
The limits of doing it by hand
- You repeat the same setup for every PR: checkout, fetch, prompt, rules.
- Findings live in the terminal, far from the lines they refer to.
- There is no history of past reviews to compare against.
- It is easy to post an unverified comment in a hurry.
How CodeCrab automates this on your machine
CodeCrab is a desktop app that runs this exact loop locally with the Claude Code you already use. It pulls the PR or your local changes via the GitHub CLI, applies your per-repository profile and review skills, and shows each finding next to the line in the diff. You decide what gets posted. Your code never leaves your laptop.
- PR review — review any open Pull Request in one click.
- Pre-push review — check local changes before the PR exists (see how).
- My PRs feedback — turn reviewer comments on your PR into a clear fix.
Quick questions
Can Claude Code review PRs on GitHub automatically?
Yes. Anthropic offers a GitHub Actions integration (set up from Claude Code with /install-github-app) that can respond in PRs. That runs in GitHub's cloud; the workflows above run locally instead.
Does Claude Code need the whole repository?
It works best with a local checkout, because the most valuable findings come from code outside the diff.
Is this different from the "How to review code with Claude Code" guide?
That article explains why generic prompts fail and how to give Claude Code repository context. Read it for the strategy; this one gives you the concrete PR commands.
Can I do the same in Cursor?
Yes. How to use Cursor for code review shows the equivalent workflow with a reusable review rule.
Try it on your next Pull Request
Free Public Beta — runs 100% on your machine. No code leaving your laptop.
Download CodeCrabKEEP READING
GitHub Copilot Code Review: How It Works, Custom Instructions and Local Reviews
How GitHub Copilot code review works on Pull Requests, how to customize it with copilot-instructions.md, and how to review your branch locally with Copilot CLI before pushing.
GitLab AI Code Review: How to Review Merge Requests Locally with AI
Review GitLab merge requests with AI on your own machine: glab mr checkout, view and diff, a copy-ready review prompt for Claude Code, Cursor, Codex or Copilot CLI.
How to Use Cursor for Code Review: Review Rules, Diff Checks and PR Workflows
Use Cursor for code review: review your branch before pushing, review PRs with the GitHub CLI, use Bugbot, and add a copy-ready .cursor/rules code review rule.
The AI-Era Code Review Checklist: How to Review AI-Generated Code (and Vibe-Coded PRs)
A practical code review checklist for AI-generated code: verify authorization, API contracts, data integrity and tests, with copy-ready review templates and a repository-aware prompt.
Cursor Bugbot vs Codex vs Claude Code: Which AI Reviews Pull Requests Best?
Compare Cursor Bugbot, OpenAI Codex and Claude Code for PR and pre-push reviews: triggers, repository rules, permissions, privacy, practical prompts and a fair evaluation method.
Claude Code Subagents for Code Review: Security, Performance and Architecture Reviewers
Build three specialized Claude Code review subagents with copy-ready definitions: a security reviewer, a performance reviewer and an architecture reviewer, each with isolated context and read-only tools.
Best AI Code Review Tools in 2026: CodeRabbit vs Greptile vs Qodo vs Cursor Bugbot vs CodeCrab
A no-pricing comparison of the leading AI code review tools: where your code goes, what permissions you grant, how much context the reviewer sees, and when the review happens.
Claude Code Skills for Code Review: How to Create, Install and Activate Them
Create and install a custom Claude Code review skill with a copy-ready SKILL.md template. Learn local vs global paths, activation, troubleshooting, and the CodeCrab output format.
Local-First AI Code Review: Why Enterprise Codebases Can't Rely on Cloud Review Bots
Cloud review bots copy your diffs to vendor servers and ask for org-wide permissions. Here is how local AI code review and self-hosted PR review really differ, and what to verify before trusting either.
How to Review Code with Claude Code: From Generic Prompts to Repo-Aware Reviews
Claude Code can review Pull Requests, but generic prompts miss what matters. Learn how review skills, repository context and a fixed output format turn it into a real reviewer.
AI Can Write Your Code. But Who Reviews It? The New PR Bottleneck
AI made writing code cheap, but reviewing AI-generated code is now the bottleneck. Learn why PR queues grow, why rubber-stamping is risky, and how to review before the Pull Request.
Code review that fits your workflow: local skills and repository-aware agents
CodeCrab combines your existing local review skills with per-repository profiles and specialized agents, so you can review PRs and pre-push changes with the full codebase in context.
PR Code Reviews: how CodeCrab unblocks your team in the AI era
AI writes more code than ever, so review queues are the new bottleneck. Here is how CodeCrab reviews Pull Requests locally, with repo-specific skills and full engineer control.
My PRs — Feedback: turn vague review comments into a clear fix
Generic or unclear feedback on your Pull Request stalls you for days. CodeCrab investigates every comment with full local code context and hands you a ready-to-run fix prompt.
Pre-Push Code Review: catch bugs before the Pull Request even exists
The cheapest bug is the one that never reaches a PR. CodeCrab reviews your local changes with your repo's own profile and skills, so you push higher-quality code the first time.
