CO

coderabbit-migration-deep-dive

A roadmap for migrating code review workflows to CodeRabbit.

Install

mkdir -p .claude/skills/coderabbit-migration-deep-dive && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4674" && unzip -o skill.zip -d .claude/skills/coderabbit-migration-deep-dive && rm skill.zip

Installs to .claude/skills/coderabbit-migration-deep-dive

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Migrate to CodeRabbit from other code review tools or roll out across
69 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Assess current code review tools and configurations
  • Translate existing code review rules to CodeRabbit path instructions
  • Execute a phased migration with parallel runs
  • Decommission old code review tools
  • Measure CodeRabbit adoption metrics

How it works

This skill assesses existing code review tools, translates their rules into CodeRabbit's path instructions, and guides a phased migration process. It includes steps for parallel operation, full transition, and measuring success.

Inputs & outputs

You give it
Current code review tool configurations and team workflows
You get back
CodeRabbit configured as the primary code review tool with adoption metrics

When to use coderabbit-migration-deep-dive

  • Switching AI review providers
  • Planning an enterprise rollout
  • Consolidating multiple review tools into one
  • Mapping legacy rules to CodeRabbit configuration

About this skill

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

FromComplexityDurationKey Challenge
Manual-only reviewsLow1-2 weeksTeam adoption
Codacy / SonarCloudMedium2-3 weeksRule translation
DeepSource / SourceryMedium2-3 weeksConfig migration
Custom review botsHigh3-4 weeksWorkflow redesign
Multiple toolsHigh4-6 weeksConsolidation

Instructions

Step 1: Assess Current State

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

# 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)

# 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
# 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)

# 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)

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

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

IssueCauseSolution
Old tool conflicts with CodeRabbitBoth posting reviewsRun parallel briefly, then disable old tool
Rules don't translate 1:1Different analysis approachesFocus on intent, not exact rule matching
Team prefers old toolFamiliarity biasRun parallel for 2 weeks, compare results
Branch protection breaksOld check name removedUpdate to coderabbitai check name
Higher seat cost than old toolPer-seat vs per-repo pricingScope repos to reduce seat count

Resources

Next Steps

For ongoing configuration tuning, see coderabbit-core-workflow-b.

Prerequisites

GitHub/GitLab organization admin accessInventory of current review tools and their configurationsUnderstanding of team review workflowsBudget approval for CodeRabbit seats

Limitations

  • Rule translation focuses on intent, not exact rule matching
  • Requires manual updates to branch protection rules

How it compares

This skill provides a structured, phased approach to migrating code review tools, unlike a manual switch that might lack a clear transition plan or success measurement.

Compared to similar skills

coderabbit-migration-deep-dive side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
coderabbit-migration-deep-dive (this skill)127dReviewIntermediate
resolve-conflicts818moReviewIntermediate
claude-automation-recommender472moReviewBeginner
codex-skill125moReviewAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

More by jeremylongshore

View all by jeremylongshore

analyzing-logs

jeremylongshore

Analyze application logs to detect performance issues, identify error patterns, and improve stability by extracting key insights.

14123

ollama-setup

jeremylongshore

Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: "install ollama", "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

1167

backtesting-trading-strategies

jeremylongshore

Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".

1071

generating-database-seed-data

jeremylongshore

Process this skill enables AI assistant to generate realistic test data and database seed scripts for development and testing environments. it uses faker libraries to create realistic data, maintains relational integrity, and allows configurable data volumes. u... Use when working with databases or data models. Trigger with phrases like 'database', 'query', or 'schema'.

1033

cursor-codebase-indexing

jeremylongshore

Execute set up and optimize Cursor codebase indexing. Triggers on "cursor index setup", "codebase indexing", "index codebase", "cursor semantic search". Use when working with cursor codebase indexing functionality. Trigger with phrases like "cursor codebase indexing", "cursor indexing", "cursor".

885

testing-mobile-apps

jeremylongshore

Execute mobile app testing on iOS and Android devices/simulators. Use when performing specialized testing. Trigger with phrases like "test mobile app", "run iOS tests", or "validate Android functionality".

810

You might also like

resolve-conflicts

antinomyhq

Use this skill immediately when the user mentions merge conflicts that need to be resolved. Do not attempt to resolve conflicts directly - invoke this skill first. This skill specializes in providing a structured framework for merging imports, tests, lock files (regeneration), configuration files, and handling deleted-but-modified files with backup and analysis.

81334

claude-automation-recommender

anthropics

Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.

47140

codex-skill

feiskyer

Use when user asks to leverage codex, gpt-5, or gpt-5.1 to implement something (usually implement a plan or feature designed by Claude). Provides non-interactive automation mode for hands-off task execution without approval prompts.

12110

git-advanced-workflows

wshobson

Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.

1197

subagent-driven-development

davila7

Use when executing implementation plans with independent tasks in the current session

1493

validate-openapi-specs

epieczko

Validates and registers hook manifest files (YAML) in the Hook Registry for versioned hook management.

594

Search skills

Search the agent skills registry