Introduction

Codemod provides tools and infrastructure to automate repetitive or large-scale code maintenance projects end-to-end, effectively making them invisible to software teams.

Some use cases include:

Framework or library upgrades

Upgrade React, Node.js, etc.

Compliance remediation

Automate GDPR, SOC 2, and policy adoption.

Design system migrations

Migrate UI libraries: Radix, Tailwind, etc.

i18n

Automate converting static strings to translation keys.

Codebase sanitization after M&A or spin-off

Unify or sanitize codebases post-M&A or spin-off.

Dependency management

Audit, update, and standardize dependencies at scale.

Codemod complements your coding agents

Codemod pairs compiler-aware code graphs with AI to complement your coding agents across the SDLC, from planning and large-scale code transformations to orchestration, safe rollouts, and leadership visibility. Its automations are fast, reliable, reusable, easy to deploy, and proven at enterprise scale.

Codemod platform core features

Insights

Plan & track projects with confidence.

Campaigns

Orchestrate migrations across teams and repos.

Automations

React to events and start repeatable codebase maintenance.

Registry

Find public, private, or pro codemods.

Studio

Generate and test codemods with AI assistance.

MCP

Give your AI tools for codemod creation.

Hosted MCP

Let AI assistants search your code and manage migrations.

Codemod Wish

Ask Codemod AI for help across the platform.

CLI

[open-source] Scaffold or run codemods locally.

Who it’s for

Enterprise engineering teams

Platform engineers, security engineers, i18n engineers, or engineering leaders who want to automate code migrations at scale and with confidence.

Open-source maintainers

Framework or library builders who want to create an exceptional upgrade experience for their users.