Grit
AI-powered code migration and modernization tool - apply large-scale codebase transformations declaratively without manual search-and-replace.
Grit is an AI-powered code transformation platform that automates large-scale codebase migrations and modernizations. Engineers define migration patterns in GritQL - Grit's declarative query language - and Grit applies them consistently across every file in a repository, handling the mechanical work of framework upgrades, API deprecations, dependency migrations, and code style standardization. Grit supports migrations for React, TypeScript, Python, and dozens of frameworks. It integrates with GitHub Actions and CI pipelines for automated enforcement. The open-source GritQL engine is available freely, and the cloud product adds a library of pre-built migration patterns, AI-generated migration plans, and team collaboration.
Key Features
- GritQL declarative pattern language for writing reusable, reviewable code transformation rules
- Pre-built migration library for React hooks, TypeScript upgrades, ESLint rules, and 50+ frameworks
- AI-generated migration plans - describe the upgrade goal and Grit creates the transformation patterns
- GitHub Actions integration for enforcing patterns on every PR without manual code review
- Multi-file transformation support with cross-file dependency awareness
- Interactive diff review so engineers can inspect and approve each transformation before committing
Use Cases
- Platform engineering teams migrating large monorepos from deprecated APIs or framework versions
- Senior engineers automating the mechanical parts of refactoring that junior engineers make mistakes on
- Open-source maintainers publishing migration scripts for users upgrading between major library versions
- DevOps teams enforcing code patterns and security fixes across many repositories simultaneously
Pros
- Declarative patterns make migrations reviewable and repeatable - not a black-box AI transformation
- Pre-built migration library for common upgrades removes the need to write patterns from scratch
- Open-source GritQL engine means teams can self-host and use the core tool without cloud dependency
Cons
- GritQL has a learning curve - writing custom patterns requires understanding its syntax and semantics
- AI-generated migration plans for novel or highly custom codebases produce inconsistent accuracy
- Complex migrations with business logic changes still require manual engineering beyond what Grit automates
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