AI-powered automated code review, PR summarization, and interactive developer feedback / Review kode otomatis berbasis AI, ringkasan PR, dan umpan balik developer interaktif.
Scanned 9/6/2026
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---
name: coderabbit
description: "AI-powered automated code review, PR summarization, and interactive developer feedback / Review kode otomatis berbasis AI, ringkasan PR, dan umpan balik developer interaktif."
author: "vibes-plug-swarm"
---
# CodeRabbit (2026 Edition — CodeRabbit 2.x)
[English](#english) | [Bahasa Indonesia](#bahasa-indonesia)
---
<a name="english"></a>
## English
### Orchestration & Integration
Connects and orchestrates with relevant domain skills like `brainstorming`, `zero-to-prod-orchestrator`, and `project-context-mapper` to ensure cohesive execution.
### Description
Expert guide for configuring and leveraging **CodeRabbit 2.x** — AI-powered automated code review, pull request summarization, and interactive developer feedback. Covers configuration, custom review rules, integration with CI/CD, and agentic review mode.
### Trigger Conditions
- Setting up CodeRabbit on a GitHub or GitLab repository.
- Configuring custom review rules for your tech stack.
- Using CodeRabbit's agentic mode for deep architectural reviews.
- Integrating CodeRabbit feedback into CI/CD quality gates.
- Writing CodeRabbit-compatible custom instructions in `.coderabbit.yaml`.
### CodeRabbit 2.x Key Features
| Feature | Description |
|---|---|
| **PR Summary** | Auto-generates structured PR description with walkthrough |
| **Line-by-line Review** | Inline comments with specific fix suggestions |
| **Agentic Review** | Deep analysis spanning multiple files for architectural issues |
| **Learnable Rules** | Learns from review dismissals and approvals over time |
| **CI Integration** | Blocks PR merge if critical issues found |
| **Chat Mode** | Ask CodeRabbit questions about the PR in review thread |
### Configuration (`.coderabbit.yaml`)
```yaml
# .coderabbit.yaml — place in repository root
version: "2"
language: "en-US"
tone_instructions: "Be concise and direct. Prioritize security and performance issues."
reviews:
auto_review:
enabled: true
drafts: false # Don't review draft PRs
base_branches: ["main", "develop"]
profile: "chill" # assertive | chill | default
request_changes_workflow: false
high_level_summary: true
commit_message_instructions: "Use Conventional Commits format: feat/fix/chore/docs"
# Ignore paths from review
path_filters:
- "!**/*.lock"
- "!**/migrations/**"
- "!**/generated/**"
- "!**/__snapshots__/**"
# Stack-specific review instructions
path_instructions:
- path: "apps/api/**"
instructions: |
- Check for missing input validation (Zod schemas required on all handlers)
- Flag any database queries without proper RLS consideration
- Ensure all async functions have try/catch or error boundaries
- Check for N+1 query patterns (missing .include() or DataLoader usage)
- path: "apps/web/**"
instructions: |
- Check for missing `key` props in .map() renders
- Flag `useEffect` without proper cleanup functions
- Check for missing `alt` attributes on images
- Verify Server Actions are properly validated with Zod
- path: "apps/admin/**"
instructions: |
- All admin routes must verify isSuperAdmin === true
- Flag any direct DB access without service role client
- Check for proper audit logging on destructive operations
# Custom review rules for the entire codebase
instructions: |
Review with these priorities:
1. SECURITY: SQL injection, XSS, auth bypass, exposed secrets
2. CORRECTNESS: Logic bugs, off-by-one errors, type unsafety
3. PERFORMANCE: N+1 queries, unnecessary re-renders, bundle size
4. MAINTAINABILITY: Code duplication, naming, SOLID violations
5. STYLE: Only comment if it's a significant clarity issue
# PR summary format
summary:
auto_title_placeholder: "🤖 AI Title"
description: |-
## Summary
<!-- Concise description of what changed -->
## Changes
<!-- Structured list by area -->
## Testing
<!-- What was tested -->
# Enable chat for interactive Q&A
chat:
auto_reply: true
```
### Agentic Review Mode (CodeRabbit 2.x)
CodeRabbit 2.x introduces **agentic review** — deep analysis that can read multiple files, run tools, and understand architectural context:
```
# Trigger agentic review in PR comment:
@coderabbitai review
# Ask specific questions:
@coderabbitai What is the security impact of changes in apps/api/src/routes/users.ts?
@coderabbitai Can you generate a test for the createWorkspace function?
@coderabbitai Is there a N+1 query issue in this PR?
@coderabbitai Summarize the architecture changes in this PR
```
### CI/CD Integration (GitHub Actions)
```yaml
# .github/workflows/pr-quality.yml
name: PR Quality Gate
on: [pull_request]
jobs:
coderabbit-review:
runs-on: ubuntu-latest
steps:
- name: Wait for CodeRabbit Review
uses: coderabbit-ai/wait-for-review@v1
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
min-approvals: 1
block-on-critical: true # Block merge if critical issues found
```
### CodeRabbit vs Manual Review — Best Practices
- **CodeRabbit first**: Let it run before human reviewers — catches the obvious issues.
- **Human focus**: After CodeRabbit, humans focus on business logic, architecture intent, and product decisions.
- **Teach it**: Dismiss false positives with an explanation — CodeRabbit learns your patterns.
- **Custom instructions**: Invest time in `path_instructions` for your specific stack — dramatically improves relevance.
---
<a name="bahasa-indonesia"></a>
## Bahasa Indonesia
### Integrasi Orkestrasi
Terhubung dan mengorkestrasi skill domain yang relevan seperti `brainstorming`, `zero-to-prod-orchestrator`, dan `project-context-mapper` untuk memastikan eksekusi yang kohesif.
### Deskripsi
Panduan ahli untuk mengonfigurasi dan memanfaatkan **CodeRabbit 2.x** — review kode otomatis bertenaga AI, ringkasan pull request, dan umpan balik developer interaktif. Mencakup konfigurasi, aturan review kustom, integrasi dengan CI/CD, dan mode review agentik.
### Kondisi Pemicu
- Menyiapkan CodeRabbit di repositori GitHub atau GitLab.
- Mengonfigurasi aturan review kustom untuk tech stack Anda.
- Menggunakan mode agentik CodeRabbit untuk review arsitektur mendalam.
- Mengintegrasikan umpan balik CodeRabbit ke dalam quality gate CI/CD.
- Menulis instruksi kustom yang kompatibel dengan CodeRabbit di `.coderabbit.yaml`.
### Fitur Utama CodeRabbit 2.x
| Fitur | Deskripsi |
|---|---|
| **Ringkasan PR** | Membuat deskripsi PR terstruktur otomatis dengan walkthrough |
| **Review Baris per Baris** | Komentar inline dengan saran perbaikan spesifik |
| **Review Agentik** | Analisis mendalam yang mencakup banyak file untuk masalah arsitektur |
| **Aturan yang Dapat Dipelajari** | Belajar dari penolakan dan persetujuan review dari waktu ke waktu |
| **Integrasi CI** | Memblokir merge PR jika masalah kritis ditemukan |
| **Mode Chat** | Tanyakan pertanyaan kepada CodeRabbit di thread review |
### Konfigurasi (`.coderabbit.yaml`)
Tempatkan `.coderabbit.yaml` di root repositori. Konfigurasi kunci:
- `reviews.profile`: `assertive` (ketat), `chill` (santai), `default`.
- `reviews.path_instructions`: Instruksi review kustom per direktori — sangat berguna untuk menerapkan standar spesifik stack.
- `reviews.path_filters`: Kecualikan file lock, migrasi, kode yang dihasilkan dari review.
- `reviews.instructions`: Aturan global untuk seluruh codebase dengan prioritas eksplisit.
### Mode Review Agentik (CodeRabbit 2.x)
Mode agentik memungkinkan CodeRabbit membaca banyak file, menjalankan tool, dan memahami konteks arsitektur. Picu dengan `@coderabbitai review` di komentar PR atau ajukan pertanyaan spesifik tentang dampak keamanan, masalah N+1, atau perubahan arsitektur.
### Integrasi CI/CD (GitHub Actions)
Gunakan action `coderabbit-ai/wait-for-review@v1` untuk menunggu review selesai dan memblokir merge jika masalah kritis ditemukan.
### CodeRabbit vs Review Manual — Best Practices
- **CodeRabbit dulu**: Biarkan berjalan sebelum reviewer manusia — menangkap masalah yang jelas.
- **Fokus manusia**: Setelah CodeRabbit, manusia fokus pada logika bisnis, niat arsitektur, dan keputusan produk.
- **Ajarkan**: Tolak false positive dengan penjelasan — CodeRabbit belajar pola Anda.
- **Instruksi kustom**: Investasikan waktu di `path_instructions` untuk stack spesifik Anda — meningkatkan relevansi secara dramatis.
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