anthropic-migration-deep-dive

Execute Anthropic major re-architecture and migration strategies with strangler fig pattern. Use when migrating to or from Anthropic, performing major version upgrades, or re-platforming existing integrations to Anthropic. Trigger with phrases like "migrate anthropic", "anthropic migration", "switch to anthropic", "anthropic replatform", "anthropic upgrade major".

claude-code
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anthropic-pack Plugin
saas packs Category

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anthropic-pack

Claude Code skill pack for Anthropic (30 skills)

saas packs v1.0.0
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Installation

This skill is included in the anthropic-pack plugin:

/plugin install anthropic-pack@claude-code-plugins-plus

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Instructions

Anthropic Migration Deep Dive

Overview

Comprehensive guide for migrating to or from Anthropic, or major version upgrades.

Prerequisites

  • Current system documentation
  • Anthropic SDK installed
  • Feature flag infrastructure
  • Rollback strategy tested

Migration Types

Type Complexity Duration Risk
Fresh install Low Days Low
From competitor Medium Weeks Medium
Major version Medium Weeks Medium
Full replatform High Months High

Pre-Migration Assessment

Step 1: Current State Analysis


# Document current implementation
find . -name "*.ts" -o -name "*.py" | xargs grep -l "anthropic" > anthropic-files.txt

# Count integration points
wc -l anthropic-files.txt

# Identify dependencies
npm list | grep anthropic
pip freeze | grep anthropic

Step 2: Data Inventory


interface MigrationInventory {
  dataTypes: string[];
  recordCounts: Record<string, number>;
  dependencies: string[];
  integrationPoints: string[];
  customizations: string[];
}

async function assessAnthropicMigration(): Promise<MigrationInventory> {
  return {
    dataTypes: await getDataTypes(),
    recordCounts: await getRecordCounts(),
    dependencies: await analyzeDependencies(),
    integrationPoints: await findIntegrationPoints(),
    customizations: await documentCustomizations(),
  };
}

Migration Strategy: Strangler Fig Pattern


Phase 1: Parallel Run
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   System    │ ──▶ │  Anthropic   │
│   (100%)    │     │   (0%)      │
└─────────────┘     └─────────────┘

Phase 2: Gradual Shift
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   (50%)     │ ──▶ │   (50%)     │
└─────────────┘     └─────────────┘

Phase 3: Complete
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   (0%)      │ ──▶ │   (100%)    │
└─────────────┘     └─────────────┘

Implementation Plan

Phase 1: Setup (Week 1-2)


# Install Anthropic SDK
npm install @anthropic/sdk

# Configure credentials
cp .env.example .env.anthropic
# Edit with new credentials

# Verify connectivity
node -e "require('@anthropic/sdk').ping()"

Phase 2: Adapter Layer (Week 3-4)


// src/adapters/anthropic.ts
interface ServiceAdapter {
  create(data: CreateInput): Promise<Resource>;
  read(id: string): Promise<Resource>;
  update(id: string, data: UpdateInput): Promise<Resource>;
  delete(id: string): Promise<void>;
}

class AnthropicAdapter implements ServiceAdapter {
  async create(data: CreateInput): Promise<Resource> {
    const anthropicData = this.transform(data);
    return anthropicClient.create(anthropicData);
  }

  private transform(data: CreateInput): AnthropicInput {
    // Map from old format to Anthropic format
  }
}

Phase 3: Data Migration (Week 5-6)


async function migrateAnthropicData(): Promise<MigrationResult> {
  const batchSize = 100;
  let processed = 0;
  let errors: MigrationError[] = [];

  for await (const batch of oldSystem.iterateBatches(batchSize)) {
    try {
      const transformed = batch.map(transform);
      await anthropicClient.batchCreate(transformed);
      processed += batch.length;
    } catch (error) {
      errors.push({ batch, error });
    }

    // Progress update
    console.log(`Migrated ${processed} records`);
  }

  return { processed, errors };
}

Phase 4: Traffic Shift (Week 7-8)


// Feature flag controlled traffic split
function getServiceAdapter(): ServiceAdapter {
  const anthropicPercentage = getFeatureFlag('anthropic_migration_percentage');

  if (Math.random() * 100 < anthropicPercentage) {
    return new AnthropicAdapter();
  }

  return new LegacyAdapter();
}

Rollback Plan


# Immediate rollback
kubectl set env deployment/app ANTHROPIC_ENABLED=false
kubectl rollout restart deployment/app

# Data rollback (if needed)
./scripts/restore-from-backup.sh --date YYYY-MM-DD

# Verify rollback
curl https://app.yourcompany.com/health | jq '.services.anthropic'

Post-Migration Validation


async function validateAnthropicMigration(): Promise<ValidationReport> {
  const checks = [
    { name: 'Data count match', fn: checkDataCounts },
    { name: 'API functionality', fn: checkApiFunctionality },
    { name: 'Performance baseline', fn: checkPerformance },
    { name: 'Error rates', fn: checkErrorRates },
  ];

  const results = await Promise.all(
    checks.map(async c => ({ name: c.name, result: await c.fn() }))
  );

  return { checks: results, passed: results.every(r => r.result.success) };
}

Instructions

Step 1: Assess Current State

Document existing implementation and data inventory.

Step 2: Build Adapter Layer

Create abstraction layer for gradual migration.

Step 3: Migrate Data

Run batch data migration with error handling.

Step 4: Shift Traffic

Gradually route traffic to new Anthropic integration.

Output

  • Migration assessment complete
  • Adapter layer implemented
  • Data migrated successfully
  • Traffic fully shifted to Anthropic

Error Handling

Issue Cause Solution
Data mismatch Transform errors Validate transform logic
Performance drop No caching Add caching layer
Rollback triggered Errors spiked Reduce traffic percentage
Validation failed Missing data Check batch processing

Examples

Quick Migration Status


const status = await validateAnthropicMigration();
console.log(`Migration ${status.passed ? 'PASSED' : 'FAILED'}`);
status.checks.forEach(c => console.log(`  ${c.name}: ${c.result.success}`));

Resources

Flagship+ Skills

For advanced troubleshooting, see anthropic-advanced-troubleshooting.

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