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GPT-Migrate

A tool to easily migrate codebases between frameworks or languages using AI.

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Introduction

GPT-Migrate

GPT-Migrate is an innovative open-source tool designed to simplify the complex and costly process of migrating codebases from one framework or language to another. Leveraging the power of Large Language Models (LLMs) like GPT-4, it automates the conversion process, making it accessible for developers and companies facing migration challenges.

Key Features
  • Automated Code Migration: Recursively rebuilds code in the target language or framework, starting from a designated entry point.
  • Dependency Mapping: Identifies and maps third-party dependencies from the source to the target language.
  • Docker Environment Setup: Creates a Docker environment for the target language to ensure compatibility and ease of deployment.
  • Unit Test Generation and Validation: Develops unit tests and optionally validates them against the original app, ensuring functional integrity.
  • Iterative Debugging: Provides AI-assisted debugging with context from logs, error messages, and file structures, iteratively refining the migrated code.
  • Customizable Options: Offers extensive customization through command-line options for model selection, temperature settings, source/target directories, and more.
Use Cases
  • Framework Upgrades: Ideal for developers needing to upgrade or switch frameworks (e.g., Flask to Node.js).
  • Language Transition: Supports companies transitioning entire codebases to a new programming language for performance or strategic reasons.
  • Legacy Code Modernization: Helps in modernizing legacy applications by migrating to contemporary frameworks or languages.
  • Cross-Platform Development: Assists in adapting applications for different environments by changing the underlying technology stack.

GPT-Migrate targets developers, tech leads, and organizations looking to reduce migration time and costs. Its unique selling point lies in combining AI-driven automation with a community-driven approach, allowing for continuous improvement and adaptation to various languages and frameworks. Although in alpha, it shows promising results with simpler migrations and invites contributions to enhance its capabilities.

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