coderabbit-reference-architecture
Implement CodeRabbit reference architecture with production-grade .coderabbit.yaml configuration. Use when designing review configuration for a new project, establishing team standards, or building a comprehensive review setup from scratch. Trigger with phrases like "coderabbit architecture", "coderabbit best practices", "coderabbit project structure", "coderabbit reference config", "coderabbit full setup".
Best use case
coderabbit-reference-architecture is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Implement CodeRabbit reference architecture with production-grade .coderabbit.yaml configuration. Use when designing review configuration for a new project, establishing team standards, or building a comprehensive review setup from scratch. Trigger with phrases like "coderabbit architecture", "coderabbit best practices", "coderabbit project structure", "coderabbit reference config", "coderabbit full setup".
Teams using coderabbit-reference-architecture should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/coderabbit-reference-architecture/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How coderabbit-reference-architecture Compares
| Feature / Agent | coderabbit-reference-architecture | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Implement CodeRabbit reference architecture with production-grade .coderabbit.yaml configuration. Use when designing review configuration for a new project, establishing team standards, or building a comprehensive review setup from scratch. Trigger with phrases like "coderabbit architecture", "coderabbit best practices", "coderabbit project structure", "coderabbit reference config", "coderabbit full setup".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# CodeRabbit Reference Architecture
## Overview
Complete reference architecture for CodeRabbit AI code review in a production team. Covers the full configuration file, path-specific review instructions per project type, tool integrations, CI pipeline integration, and the review lifecycle. Use this as a starting template and customize for your team.
## Architecture Diagram
```
Developer pushes code
│
▼
┌─────────────────────────┐
│ Pull Request │
│ (targets base branch) │
└─────────┬───────────────┘
│
▼
┌─────────────────────────┐
│ CodeRabbit AI Review │
│ Reads: .coderabbit.yaml│
│ from base branch │
│ │
│ Outputs: │
│ ├── Walkthrough summary│
│ ├── Sequence diagrams │
│ ├── Line-level comments│
│ └── Review state │
└─────────┬───────────────┘
│
┌─────┴──────┐
│ │
▼ ▼
┌────────┐ ┌────────────┐
│ APPROVED│ │ CHANGES │
│ │ │ REQUESTED │
└────┬───┘ └─────┬──────┘
│ │
▼ ▼
Merge Developer fixes
(if branch and pushes
protection (incremental
passes) re-review)
```
## Instructions
### Step 1: Full Reference Configuration
```yaml
# .coderabbit.yaml - Production Reference Architecture
# Copy this file and customize for your project.
language: "en-US"
early_access: false
# Tone customization
tone_instructions: |
Be concise and direct. Use bullet points for multiple suggestions.
Include code examples for non-obvious fixes.
Rate severity: Critical > Warning > Suggestion > Nitpick.
reviews:
# Review behavior
profile: "assertive"
request_changes_workflow: true
high_level_summary: true
high_level_summary_in_walkthrough: true
review_status: true
collapse_walkthrough: false
sequence_diagrams: true
poem: false
# Automatic review triggers
auto_review:
enabled: true
drafts: false
base_branches:
- main
- develop
- "release/*"
ignore_title_keywords:
- "WIP"
- "DO NOT MERGE"
- "chore: bump"
- "chore(deps)"
# File exclusions (skip files with no review value)
path_filters:
- "!**/*.lock"
- "!**/package-lock.json"
- "!**/pnpm-lock.yaml"
- "!**/yarn.lock"
- "!**/*.snap"
- "!**/*.generated.*"
- "!**/generated/**"
- "!dist/**"
- "!build/**"
- "!**/*.min.js"
- "!**/*.min.css"
- "!vendor/**"
- "!**/__mocks__/**"
- "!**/fixtures/**"
# Path-specific review instructions
path_instructions:
# API layer
- path: "src/api/**"
instructions: |
Review for:
- Input validation on all request parameters
- Proper HTTP status codes (don't use 200 for errors)
- Auth middleware applied to protected routes
- Error response format (consistent structure)
- Rate limiting on public endpoints
Flag: missing error handling, unvalidated input, SQL injection
# Database layer
- path: "src/db/**"
instructions: |
Review for:
- Parameterized queries (no string concatenation in SQL)
- Transaction boundaries on multi-table mutations
- Connection cleanup (no connection leaks)
- Index usage for complex queries
Flag: N+1 query patterns, raw SQL with user input
# Authentication
- path: "src/auth/**"
instructions: |
SECURITY-CRITICAL. Review for:
- Password hashing (bcrypt/argon2 only, never MD5/SHA)
- Token expiry configuration
- Session management and fixation prevention
- CSRF protection on state-changing operations
- Brute force protection
# Frontend components
- path: "src/components/**"
instructions: |
Review for:
- Accessibility (aria labels, keyboard navigation, screen reader support)
- Performance (memoization, lazy loading, bundle size impact)
- Proper state management (no prop drilling beyond 2 levels)
Ignore: CSS naming conventions, import order
# Tests
- path: "**/*.test.*"
instructions: |
Review for:
- Assertion completeness (not just checking status codes)
- Edge case coverage (null, empty, boundary values)
- Proper async handling (await, done callbacks)
- Test isolation (no shared mutable state)
Do NOT comment on: test naming conventions, import order
# CI/CD pipelines
- path: ".github/workflows/**"
instructions: |
Review for:
- Pin action versions to SHA commit hash (not tags)
- No secrets in step names, echo, or log output
- timeout-minutes on all jobs
- Use OIDC for cloud provider auth
- Minimal permissions on GITHUB_TOKEN
# Infrastructure
- path: "**/*.tf"
instructions: |
Review for:
- No hardcoded credentials or keys
- Encryption enabled on storage and databases
- Security groups: no 0.0.0.0/0 ingress except 443
- IAM: least privilege, no wildcard actions
# Finishing touches (Pro+)
finishing_touches:
docstrings:
enabled: true
# Linter tool integrations
tools:
eslint:
enabled: true
biome:
enabled: true
shellcheck:
enabled: true
markdownlint:
enabled: true
chat:
auto_reply: true
```
### Step 2: Project-Specific Templates
**Node.js/TypeScript Backend:**
```yaml
# Add to path_instructions:
- path: "src/middleware/**"
instructions: "Review for proper error propagation, request/response typing."
- path: "src/services/**"
instructions: "Review for dependency injection, proper error handling, testability."
- path: "prisma/migrations/**"
instructions: "Verify: backward compatibility, rollback safety, no data loss."
```
**React/Next.js Frontend:**
```yaml
# Add to path_instructions:
- path: "src/hooks/**"
instructions: "Review for: cleanup in useEffect, dependency arrays, race conditions."
- path: "src/pages/**"
instructions: "Review for: SSR/SSG correctness, SEO meta tags, performance."
- path: "src/lib/**"
instructions: "Review for: tree-shaking friendly exports, no side effects."
```
**Python/Django Backend:**
```yaml
# Add to path_instructions:
- path: "**/*.py"
instructions: |
Review for: type hints, proper exception handling, no mutable default args.
Check: context manager usage, proper async patterns.
- path: "**/models.py"
instructions: "Review for: index definitions, migration compatibility, field validation."
- path: "**/views.py"
instructions: "Review for: permission classes, serializer validation, query optimization."
```
### Step 3: CI Pipeline Integration
```yaml
# .github/workflows/pr-checks.yml
name: PR Checks
on:
pull_request:
types: [opened, synchronize, reopened]
jobs:
# Your existing CI checks
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- run: npm ci
- run: npm test
# CodeRabbit review gate (optional)
coderabbit-gate:
runs-on: ubuntu-latest
if: github.event.action == 'opened'
steps:
- name: CodeRabbit review expected
uses: actions/github-script@v7
with:
script: |
core.info('CodeRabbit will review this PR automatically.');
core.info('Reviews typically post within 2-5 minutes.');
```
### Step 4: Team Onboarding Document
```markdown
# CodeRabbit Quick Reference for Developers
## What happens when you open a PR:
1. CodeRabbit reviews automatically (2-5 min)
2. Posts a walkthrough summary comment
3. Adds line-level suggestions
4. Sets review state (Approved / Changes Requested)
## Commands (post in any PR comment):
@coderabbitai full review - Re-review all files
@coderabbitai summary - Regenerate walkthrough
@coderabbitai resolve - Mark all comments resolved
@coderabbitai generate-docstrings - Auto-generate docstrings
@coderabbitai configuration - Show active config
@coderabbitai help - List all commands
## Tips:
- Reply to comments to teach CodeRabbit your preferences
- Add "WIP" to PR title to skip review
- Keep PRs under 500 lines for best review quality
- Use @coderabbitai run <recipe> for finishing touches
```
## Output
- Complete reference `.coderabbit.yaml` with all configuration sections
- Project-specific path instruction templates
- CI pipeline integration for review gating
- Team onboarding quick reference document
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Config not applied | YAML syntax error | Validate with `python3 -c "import yaml; yaml.safe_load(open('.coderabbit.yaml'))"` |
| Too many comments | Profile too aggressive or no path_instructions | Switch to `chill` or add contextual instructions |
| Reviews on generated files | Missing path_filters | Add `!**/generated/**` and similar exclusions |
| Wrong branch config | Config not on base branch | Commit `.coderabbit.yaml` to the PR's target branch |
## Resources
- [CodeRabbit Configuration Reference](https://docs.coderabbit.ai/reference/configuration)
- [CodeRabbit Path Instructions](https://docs.coderabbit.ai/guides/review-instructions)
- [CodeRabbit Tools](https://docs.coderabbit.ai/tools)
- [CodeRabbit Finishing Touches](https://docs.coderabbit.ai/finishing-touches)
## Next Steps
For initial setup, see `coderabbit-install-auth`. For tuning, see `coderabbit-core-workflow-b`.Related Skills
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