Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
AI-powered automated code review, PR summarization, and interactive developer feedback / Review kode otomatis berbasis AI, ringkasan PR, dan umpan balik developer interaktif.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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Connects and orchestrates with relevant domain skills like anti-slop, brainstorming, zero-to-prod-orchestrator, and session-memory-manager to ensure cohesive execution.
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.
.coderabbit.yaml.| 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 |
.coderabbit.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
6. SOVEREIGN ANTI-SLOP: Flag placeholders (// TODO, // ...), mock data in prod, syntax comments, and silent error suppression
# 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
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
# .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
path_instructions for your specific stack — dramatically improves relevance.<a name="bahasa-indonesia"></a>
Terhubung dan mengorkestrasi skill domain yang relevan seperti brainstorming, zero-to-prod-orchestrator, dan session-memory-manager untuk memastikan eksekusi yang kohesif.
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.
.coderabbit.yaml.| 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 |
.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 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.
Gunakan action coderabbit-ai/wait-for-review@v1 untuk menunggu review selesai dan memblokir merge jika masalah kritis ditemukan.
path_instructions untuk stack spesifik Anda — meningkatkan relevansi secara dramatis.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for intelligent model cascading and routing — complexity-scored task routing from Flash/Haiku to Sonnet/Opus/Astra, dynamic escalation with quality gates, 40-60% token cost reduction while maintaining output quality / Panduan ahli untuk kaskade dan routing model cerdas — routing tugas berbasis skor kompleksitas dari Flash/Haiku ke Sonnet/Opus/Astra, eskalasi dinamis dengan gerbang kualitas, pengurangan biaya token 40-60% dengan kualitas output terjaga.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for Affective Computing, emotional AI, and real-time sentiment analysis through native multimodal tokens (voice intonation and facial micro-expressions) / Panduan ahli komputasi afektif, AI emosional, dan analisis sentimen real-time melalui token multimodal native.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for AI-assisted coding workflows — agentic code generation, multi-agent code swarms, self-healing CI/CD, automated PR review, spec-to-code pipelines, codebase knowledge graphs, and human-in-the-loop approval gates / Panduan ahli untuk workflow pengkodean berbasis AI — generasi kode agentic, code swarm multi-agen, CI/CD self-healing, review PR otomatis, pipeline spec-to-code, knowledge graph codebase, dan gate persetujuan human-in-the-loop.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for long-term episodic memory integration (Mem0 v2, Letta/MemGPT, Zep v2), memory tier architecture, pgvector HNSW storage, and unified context management for autonomous AI agents / Panduan ahli untuk integrasi memori episodik jangka panjang (Mem0 v2, Letta/MemGPT, Zep v2), arsitektur tier memori, penyimpanan pgvector HNSW, dan manajemen konteks terpadu untuk agen AI otonom.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for designing Machine-to-Machine (M2M) micro-economies, autonomous agent wallets, and swarm budget allocation / Panduan ahli merancang ekonomi mikro antar-agen (M2M), dompet agen otonom, dan alokasi anggaran swarm.
日本語の概要は準備中です。原文の説明を表示しています。