GPT Migrate

Analyzes source codebase structure, dependencies, and patterns using LLM prompting to understand migration requirements. Generates a migration plan by decomposing the codebase into logical units (modules, classes, functions) and mapping them to target framework/language equivalents. Uses chain-of-thought reasoning to identify breaking changes, dependency conflicts, and refactoring strategies before code generation begins.

Generates migrated code in chunks, maintaining context of previously generated files and dependencies to ensure consistency across the codebase. Uses a stateful generation loop where each file generation is informed by the migration plan and previously generated code, reducing hallucinations and improving coherence. Implements rollback and retry logic to handle LLM generation failures without corrupting the output codebase.

Allows users to define custom transformation rules for domain-specific code patterns that the LLM may not handle correctly. Rules can specify pattern matching (regex or AST-based) and transformation logic (code templates or LLM-guided generation). Applies custom rules before or after LLM generation to handle edge cases and framework-specific patterns. Supports rule composition and ordering to handle complex transformations.

Supports arbitrary source-to-target language and framework combinations by using LLM-driven semantic understanding rather than hardcoded transformation rules. Handles language-specific syntax, idioms, and framework patterns by prompting the LLM with target framework documentation and best practices. Automatically adapts to different type systems, module systems, and dependency management approaches between source and target.

Automatically maps source framework dependencies to target framework equivalents by analyzing import statements and library usage patterns. Resolves transitive dependencies and identifies which source libraries have direct target equivalents vs. which require architectural changes. Generates updated dependency manifests (package.json, requirements.txt, etc.) for the target framework with appropriate version constraints.

Generates test cases for migrated code by analyzing the original source code's test suite and translating tests to the target framework's testing conventions. Validates generated code by running tests and comparing behavior against the original codebase. Identifies test failures and generates fixes or highlights areas requiring manual review.

Provides a CLI or interactive interface where users can review generated code, request changes, and provide feedback that informs subsequent generation steps. Implements a conversation loop where users can ask clarifying questions about migration decisions, request alternative implementations, or highlight code sections needing revision. Incorporates user feedback into the generation context to improve subsequent outputs.

Analyzes source configuration files (.env, config.yaml, settings.py, etc.) and generates equivalent configuration for the target framework. Maps environment variable names and configuration structures to target framework conventions. Handles differences in configuration loading mechanisms (e.g., Django settings modules vs. environment variables vs. config files) and generates appropriate configuration code for the target.

Analyzes source database schemas and ORM models (SQLAlchemy, Django ORM, TypeORM, etc.) and generates equivalent models for the target ORM. Maps database column types, constraints, and relationships to target ORM conventions. Generates migration scripts or schema definitions for the target database system. Handles differences in ORM query syntax and relationship definitions between source and target.

Analyzes source API endpoints and route definitions and generates equivalent routes for the target framework. Maps HTTP method handling, request/response serialization, middleware, and authentication patterns to target framework conventions. Generates OpenAPI/Swagger documentation for migrated endpoints. Handles differences in route parameter syntax, request body parsing, and response formatting between frameworks.

Supports migrating entire codebases in batch mode with persistent progress tracking, allowing migrations to be paused and resumed without losing work. Maintains a migration state database tracking which files have been processed, which failed, and which are pending. Implements retry logic with exponential backoff for failed generations. Provides progress reporting and estimated time to completion.