AI Code Migration Assistant

Overview

The AI Code Migration Assistant is an automated workflow for migrating codebases between frameworks, languages, or versions. It combines code analysis, automated translation, testing, and validation to reduce the time and risk of migration projects.

Code migrations are notoriously time-consuming and error-prone. This workflow uses multiple specialized agents to handle different aspects of the migration: analysis, planning, translation, testing, validation, and documentation. The result is a more reliable and faster migration process.

Difficulty

Hard — Requires understanding of both source and target frameworks/languages, plus careful validation.

Tools Required

Tool	Purpose
OpenAI Agents SDK	Agent orchestration and tool calling
Claude	Code analysis and translation
GitHub	Repository access and PR creation
E2B MCP	Sandboxed code execution for testing
Filesystem MCP	Local file read/write access
Git MCP	Git operations (diff, commit, branch)

Workflow Steps

Step 1: Analyzer Agent

The Analyzer Agent examines the source codebase to understand:

• File structure and organization
• Dependencies and imports
• Code patterns and conventions
• Test coverage and test files
• Build configuration and scripts

# Example: Analyze codebase structure
analyzer_result = analyzer_agent.run("""
Analyze this codebase and provide:
1. List of all source files and their purposes
2. External dependencies and their versions
3. Key architectural patterns used
4. Test files and their coverage
5. Build and deployment configuration
""")

Step 2: Migration Planner Agent

The Migration Planner Agent creates a detailed migration strategy:

• Mapping of source patterns to target equivalents
• Identification of breaking changes
• Migration order and dependencies
• Risk assessment for each component
• Rollback plan

# Example: Create migration plan
plan = planner_agent.run(f"""
Source: {source_framework}
Target: {target_framework}

Based on the analysis, create a migration plan that includes:
1. File-by-file migration order
2. API mapping between frameworks
3. Breaking changes to watch for
4. Estimated effort per component
5. Risk level for each migration step
""")

Step 3: Translator Agent

The Translator Agent converts code from source to target:

• Syntax translation
• API replacement
• Pattern adaptation
• Import restructuring
• Configuration updates

# Example: Translate a file
translated_code = translator_agent.run(f"""
Translate this {source_language} code to {target_language}:

{original_code}

Follow these rules:
1. Use idiomatic {target_language} patterns
2. Replace {source_framework} APIs with {target_framework} equivalents
3. Maintain the same functionality
4. Add comments for any non-obvious changes
""")

Step 4: Test Generator Agent

The Test Generator Agent creates test cases:

• Unit tests for migrated functions
• Integration tests for component interactions
• Edge case coverage
• Regression tests from original test suite

# Example: Generate tests
tests = test_generator_agent.run(f"""
Generate comprehensive tests for this migrated code:

{migrated_code}

Include:
1. Unit tests for each public function
2. Integration tests for component interactions
3. Edge cases and error handling
4. Performance benchmarks if applicable
""")

Step 5: Validator Agent

The Validator Agent verifies correctness:

• Run tests in sandboxed environment
• Compare outputs with original implementation
• Check for runtime errors
• Verify type safety
• Performance comparison

# Example: Validate migrated code
validation = validator_agent.run(f"""
Validate this migrated code against the original:

Original: {original_code}
Migrated: {migrated_code}

Run tests and compare:
1. Functional equivalence
2. Performance characteristics
3. Edge case handling
4. Error behavior
""")

Step 6: Refactor Agent

The Refactor Agent optimizes the migrated code:

• Apply target framework best practices
• Improve code organization
• Add type annotations
• Optimize performance
• Remove migration artifacts

# Example: Refactor for best practices
refactored = refactor_agent.run(f"""
Refactor this migrated code for {target_framework} best practices:

{validated_code}

Focus on:
1. Idiomatic {target_language} patterns
2. Clean code principles
3. Performance optimization
4. Type safety improvements
""")

Step 7: Documentation Agent

The Documentation Agent updates documentation:

• API documentation
• Migration guide
• Changelog
• README updates
• Code comments

# Example: Generate documentation
docs = doc_agent.run(f"""
Update documentation for the migrated codebase:

1. Update API documentation
2. Create a migration guide
3. Write a changelog
4. Update README with new setup instructions
5. Add inline comments for complex changes
""")

Example Usage

Migrating from Express to Fastify

# Initialize workflow
migration = CodeMigrationWorkflow(
    source_framework="Express.js",
    target_framework="Fastify",
    source_language="JavaScript",
    target_language="TypeScript",
)

# Run full migration
result = migration.run(
    repo_path="./my-express-app",
    output_path="./my-fastify-app",
)

print(f"Migration complete!")
print(f"Files migrated: {result.files_migrated}")
print(f"Tests generated: {result.tests_generated}")
print(f"Validation: {result.validation_status}")

Migrating from React Class Components to Hooks

migration = CodeMigrationWorkflow(
    source_framework="React (Class Components)",
    target_framework="React (Hooks)",
    source_language="JavaScript",
    target_language="JavaScript/TypeScript",
)

result = migration.run(
    repo_path="./react-class-app",
    output_path="./react-hooks-app",
)

Pros

• ✅ Automated Analysis: Comprehensive codebase understanding
• ✅ Structured Migration: Step-by-step process reduces errors
• ✅ Automated Testing: Tests generated for validation
• ✅ Sandboxed Execution: Safe testing environment
• ✅ Documentation: Auto-generated migration guides
• ✅ Rollback Support: Clear rollback plan

Cons

• ❌ Complex Setup: Requires multiple tools and agents
• ❌ Not Fully Automatic: Human review still needed
• ❌ Framework Knowledge: Requires understanding both frameworks
• ❌ Testing Overhead: Test generation adds time
• ❌ Edge Cases: May miss complex patterns

When to Use

Use this workflow when:

• Migrating between major framework versions
• Porting code between languages
• Modernizing legacy codebases
• Reducing manual migration effort
• Needing comprehensive test coverage

Avoid this workflow when:

• Migration is trivial (few files)
• You have deep expertise in both frameworks
• The codebase is too complex for automated analysis
• You need 100% manual control

Resources

• OpenAI Agents SDK
• E2B Sandbox
• Git MCP
• Filesystem MCP