coderabbit-migration-deep-dive
Migrate to CodeRabbit from other code review tools or roll out across a large organization. Use when switching from another AI review tool, migrating from manual-only reviews, or planning a phased CodeRabbit adoption strategy. Trigger with phrases like "migrate to coderabbit", "coderabbit migration", "switch to coderabbit", "coderabbit from reviewbot", "adopt coderabbit", "replace code review tool".
What this skill does
# CodeRabbit Migration Deep Dive
## Overview
Comprehensive guide for migrating to CodeRabbit from other AI code review tools (Codacy, SonarCloud, DeepSource, Sourcery) or from manual-only code review. Covers assessment, phased rollout, configuration transfer, team buy-in, and measuring success.
## Prerequisites
- GitHub/GitLab organization admin access
- Inventory of current review tools and their configurations
- Understanding of team review workflows
- Budget approval for CodeRabbit seats
## Migration Types
| From | Complexity | Duration | Key Challenge |
|------|-----------|----------|---------------|
| Manual-only reviews | Low | 1-2 weeks | Team adoption |
| Codacy / SonarCloud | Medium | 2-3 weeks | Rule translation |
| DeepSource / Sourcery | Medium | 2-3 weeks | Config migration |
| Custom review bots | High | 3-4 weeks | Workflow redesign |
| Multiple tools | High | 4-6 weeks | Consolidation |
## Instructions
### Step 1: Assess Current State
```bash
set -euo pipefail
ORG="${1:-your-org}"
echo "=== Code Review Tool Assessment ==="
# Check for existing review tools
echo "--- Installed GitHub Apps ---"
gh api "orgs/$ORG/installations" --jq '.installations[] | "\(.app_slug) (ID: \(.id))"' 2>/dev/null
echo ""
echo "--- Review Tool Config Files ---"
for REPO in $(gh repo list "$ORG" --limit 20 --json name --jq '.[].name'); do
# Check for common review tool configs
for CONFIG in ".codacy.yml" "sonar-project.properties" ".deepsource.toml" ".sourcery.yaml" ".coderabbit.yaml"; do
EXISTS=$(gh api "repos/$ORG/$REPO/contents/$CONFIG" --jq '.name' 2>/dev/null || echo "")
if [ -n "$EXISTS" ]; then
echo " $REPO: $CONFIG"
fi
done
done
```
### Step 2: Map Review Rules to CodeRabbit Path Instructions
```yaml
# Common rule translations:
# Codacy / SonarCloud "code smells" → CodeRabbit path_instructions
# Before (Codacy):
# rules:
# - id: "javascript/complexity"
# - id: "javascript/error-handling"
#
# After (CodeRabbit):
reviews:
path_instructions:
- path: "src/**/*.ts"
instructions: |
Check for:
- Functions with cyclomatic complexity > 10 (suggest refactoring)
- Missing error handling in async operations
- Empty catch blocks
- Unused variables and imports
# DeepSource "analyzer" → CodeRabbit path_instructions
# Before (DeepSource):
# analyzers:
# - name: javascript
# enabled: true
# meta:
# plugins: [react]
#
# After (CodeRabbit):
- path: "src/components/**"
instructions: |
React-specific checks:
- No conditional hooks
- Proper cleanup in useEffect
- Memoization for expensive computations
- Accessibility (aria labels, keyboard navigation)
# Sourcery "refactoring" → CodeRabbit path_instructions
# Before (Sourcery):
# refactor:
# skip: [dont-import-test-modules]
#
# After (CodeRabbit):
- path: "**/*.py"
instructions: |
Python best practices:
- Suggest list comprehensions over manual loops where appropriate
- Flag mutable default arguments
- Check for proper context manager usage
```
### Step 3: Phase 1 -- Parallel Run (Week 1-2)
```yaml
# Run CodeRabbit alongside existing tool for comparison
# .coderabbit.yaml - Start with non-blocking mode
reviews:
profile: "chill" # Fewer comments during evaluation
request_changes_workflow: false # Don't block merges
high_level_summary: true # Show walkthrough for evaluation
auto_review:
enabled: true
drafts: false
base_branches: [main, develop]
path_filters:
- "!**/*.lock"
- "!**/*.snap"
- "!dist/**"
- "!vendor/**"
chat:
auto_reply: true
```
```markdown
# During parallel run, track:
1. Comment quality: Are CodeRabbit comments actionable?
2. Coverage: Does it catch what the old tool catches?
3. Speed: Is review posted before human reviewers start?
4. Noise: Are there many false positives?
5. Team reaction: Do developers find it helpful?
```
### Step 4: Phase 2 -- Primary Tool (Week 3-4)
```yaml
# After successful parallel run, make CodeRabbit primary
# .coderabbit.yaml - Enable full features
reviews:
profile: "assertive" # Balanced feedback
request_changes_workflow: true # Now blocking
high_level_summary: true
sequence_diagrams: true
auto_review:
enabled: true
drafts: false
base_branches: [main, develop]
path_instructions:
# Transfer your best rules from the old tool
- path: "src/api/**"
instructions: |
Review for: input validation, proper HTTP status codes,
auth middleware usage, error response format.
- path: "src/db/**"
instructions: |
Review for: parameterized queries, transaction boundaries,
connection cleanup, index usage. Flag N+1 patterns.
- path: "**/*.test.*"
instructions: |
Review for: assertion completeness, edge cases, async handling.
Do NOT comment on test naming or import order.
# Keep exclusions from old tool
path_filters:
- "!**/*.lock"
- "!**/*.snap"
- "!**/generated/**"
- "!dist/**"
- "!vendor/**"
```
### Step 5: Phase 3 -- Decommission Old Tool (Week 4-6)
```bash
set -euo pipefail
ORG="${1:-your-org}"
echo "=== Old Tool Decommission Checklist ==="
# 1. Remove old tool config files
echo "--- Config Files to Remove ---"
for REPO in $(gh repo list "$ORG" --limit 50 --json name --jq '.[].name'); do
for CONFIG in ".codacy.yml" "sonar-project.properties" ".deepsource.toml" ".sourcery.yaml"; do
EXISTS=$(gh api "repos/$ORG/$REPO/contents/$CONFIG" --jq '.name' 2>/dev/null || echo "")
if [ -n "$EXISTS" ]; then
echo " rm $REPO/$CONFIG"
fi
done
done
echo ""
echo "--- Steps ---"
echo "1. Remove old tool GitHub App from org settings"
echo "2. Delete old tool config files from repos"
echo "3. Update branch protection rules (replace old check with coderabbitai)"
echo "4. Cancel old tool subscription"
echo "5. Update team documentation and onboarding guides"
```
### Step 6: Measure Migration Success
```bash
set -euo pipefail
ORG="${1:-your-org}"
REPO="${2:-your-repo}"
echo "=== CodeRabbit Adoption Metrics ==="
# Review coverage
TOTAL=0
REVIEWED=0
for PR_NUM in $(gh api "repos/$ORG/$REPO/pulls?state=closed&per_page=30" --jq '.[].number'); do
TOTAL=$((TOTAL + 1))
CR=$(gh api "repos/$ORG/$REPO/pulls/$PR_NUM/reviews" \
--jq '[.[] | select(.user.login=="coderabbitai[bot]")] | length' 2>/dev/null || echo "0")
[ "$CR" -gt 0 ] && REVIEWED=$((REVIEWED + 1))
done
echo "Review coverage: $REVIEWED/$TOTAL PRs ($(( REVIEWED * 100 / (TOTAL > 0 ? TOTAL : 1) ))%)"
echo ""
echo "Target metrics:"
echo " - Coverage > 90%: CodeRabbit reviewing most PRs"
echo " - Time-to-review < 5 min: Fast feedback loop"
echo " - Team satisfaction: Survey developers after 2 weeks"
```
## Output
- Current review tool assessment completed
- Rule translation from old tool to CodeRabbit path_instructions
- Phased migration plan executed
- Old tool decommissioned
- Adoption metrics measured
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Old tool conflicts with CodeRabbit | Both posting reviews | Run parallel briefly, then disable old tool |
| Rules don't translate 1:1 | Different analysis approaches | Focus on intent, not exact rule matching |
| Team prefers old tool | Familiarity bias | Run parallel for 2 weeks, compare results |
| Branch protection breaks | Old check name removed | Update to `coderabbitai` check name |
| Higher seat cost than old tool | Per-seat vs per-repo pricing | Scope repos to reduce seat count |
## Resources
- CodeRabbit vs Alternatives
- [CodeRabbit Configuration Reference](https://docs.coderabbit.ai/reference/configuration)
- Migration from Codacy
- [CodeRabbit Path Instructions](https://docs.coderabbit.ai/guides/review-instructions)
## Next Steps
For ongoing configuration tuning, see `coderabbit-corRelated in Code Review
gstack
IncludedFast headless browser for QA testing and site dogfooding. Navigate pages, interact with elements, verify state, diff before/after, take annotated screenshots, test responsive layouts, forms, uploads, dialogs, and capture bug evidence. Use when asked to open or test a site, verify a deployment, dogfood a user flow, or file a bug with screenshots. (gstack)
startup-due-diligence
IncludedLegal due diligence review for seed-stage and Series A startups (US, Delaware C-Corp focus). Supports both investor and founder perspectives. Capabilities include: (1) Interactive document review and issue spotting; (2) Document request list generation; (3) Cap table and SAFE/convertible note analysis; (4) Red flag identification with severity ratings; (5) Diligence report generation. TRIGGERS: due diligence, DD, startup investment, cap table review, Series A, seed round, investor diligence, legal review startup, SAFE analysis, convertible note, 409A, founder vesting.
interview-master
IncludedThis skill should be used when the user asks to "generate interview questions", "prepare for interview", "optimize resume", "conduct mock interview", "analyze git commits for resume", "generate resume from code", "review my resume", or mentions interview preparation, career assistance, or extracting project experience from git history. Provides comprehensive interview and career development guidance for both job seekers and interviewers.
fix-issue
IncludedFixes GitHub issues using parallel analysis agents for root cause investigation, code exploration, and regression detection. Reads issue context from gh CLI, searches codebase and memory for related patterns, generates a fix with tests, and links the resolution back to the issue via PR. Includes prevention analysis to avoid recurrence. Use when debugging errors, resolving regressions, fixing bugs, or triaging issues.
sf-apex
IncludedGenerates and reviews Salesforce Apex code with 150-point scoring. TRIGGER when: user writes, reviews, or fixes Apex classes, triggers, test classes, batch/queueable/schedulable jobs, or touches .cls/.trigger files. DO NOT TRIGGER when: LWC JavaScript (use sf-lwc), Flow XML (use sf-flow), SOQL-only queries (use sf-soql), or non-Salesforce code.
swift-development
IncludedComprehensive Swift development for building, testing, and deploying iOS/macOS applications. Use when Claude needs to: (1) Build Swift packages or Xcode projects from command line, (2) Run tests with XCTest or Swift Testing framework, (3) Manage iOS simulators with simctl, (4) Handle code signing, provisioning profiles, and app distribution, (5) Format or lint Swift code with SwiftFormat/SwiftLint, (6) Work with Swift Package Manager (SPM), (7) Implement Swift 6 concurrency patterns (async/await, actors, Sendable), (8) Create SwiftUI views with MVVM architecture, (9) Set up Core Data or SwiftData persistence, or any other Swift/iOS/macOS development tasks.