Code Migration AI Tools

These 2 tools specialize in code migration, providing targeted AI assistance for specific development needs.

2 tools reviewed 83 average score Updated February 2026

Tools Analysis

Goose

83/100

What it does: Block's open-source AI agent framework that goes beyond code suggestions—installing, executing, editing, testing, and automating complex workflows with any LLM and extensive MCP integration.

How you'll use it:

Large-scale code migrations (Ember to React, Ruby to Kotlin)—Goose rewrote 70% of a platform's code in 30 minutes
Cross-functional automation: meeting prep via Google Calendar, SQL queries for data analysis, workflow orchestration

Performance: Solid performer with 83/100 score. Good choice for most development scenarios.

Devin

82/100

What it does: The world's first fully autonomous AI software engineer that can plan, code, debug, and deploy entire projects independently with minimal human intervention.

How you'll use it:

Autonomous feature implementation from natural language descriptions—Devin plans, codes, tests, and deploys with minimal oversight
Code migration projects like Ember to React or Ruby to Kotlin, handling large-scale rewrites autonomously

Technical advantages: Enterprise deployment options

Performance: Solid performer with 82/100 score. Good choice for most development scenarios.

Backing: Well-funded with institutional support, ensuring continued development.

Selection Guidance

For most developers: Start with the highest-scored tool in this category and evaluate against your specific requirements.

For enterprise teams: Prioritize tools with enterprise features like SSO, on-premise deployment, and team management.

For individual developers: Focus on tools that integrate well with your existing IDE and workflow.