Top Repos by AI Readiness

How well are the most popular open-source projects prepared for AI coding tools like Claude Code, Cursor, Windsurf, and GitHub Copilot? Click any repo to get its live score.

Have your own repo? Score it now →

facebook/react Score it →

A JavaScript library for building user interfaces

vercel/next.js Score it →

The React Framework for the Web

microsoft/vscode Score it →

Visual Studio Code — code editor

denoland/deno Score it →

A modern runtime for JavaScript and TypeScript

sveltejs/svelte Score it →

Cybernetically enhanced web applications

tailwindlabs/tailwindcss Score it →

A utility-first CSS framework

astro-build/astro Score it →

The web framework for content-driven websites

remix-run/remix Score it →

Full stack web framework

vuejs/core Score it →

The progressive JavaScript framework

expressjs/express Score it →

Fast, unopinionated, minimalist web framework for Node.js

fastify/fastify Score it →

Fast and low overhead web framework for Node.js

drizzle-team/drizzle-orm Score it →

Headless TypeScript ORM

langchain-ai/langchainjs Score it →

Build context-aware reasoning applications

supabase/supabase Score it →

The open source Firebase alternative

shadcn-ui/ui Score it →

Beautifully designed components built with Radix and Tailwind

hono-js/hono Score it →

Small, simple, and ultrafast web framework for the Edges

trpc/trpc Score it →

End-to-end typesafe APIs made easy

prisma/prisma Score it →

Next-generation ORM for Node.js and TypeScript

vitejs/vite Score it →

Next generation frontend tooling

redwoodjs/redwood Score it →

The App Framework for Startups

What is AI Readiness?

AI readiness measures how well a codebase is structured for AI-powered development tools. Repos that score high tend to have:

Clear documentation — comprehensive README, CONTRIBUTING guides, and inline docs
AI config files — .cursorrules, CLAUDE.md, .github/copilot-instructions.md
Strong type safety — TypeScript, type hints, or strict typing
Good test coverage — test suites that AI tools can run to verify changes
Clean structure — organized directories, dependency manifests, CI/CD pipelines

The AI Ready score evaluates 10 dimensions on a 100-point scale. Repos scoring 75+ (Grade A or B) give AI tools the context they need to write correct, idiomatic code on the first try.

Why It Matters

Developers using AI coding assistants in well-structured repos report significantly faster iteration. A high AI readiness score means less time correcting AI suggestions and more time shipping features. The score also serves as a general code quality indicator — the same practices that help AI tools also help human contributors.

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JavaScript · TypeScript · Python · Rust · Go · Java · Ruby · PHP · Swift

Compare Repos

Want to see how two repos stack up? Use our side-by-side comparison tool to compare AI readiness scores across all 10 scoring dimensions.

Popular Comparisons

React vs Vue vs Svelte · Next.js vs Remix vs Astro · Express vs Fastify vs Hono · FastAPI vs Django vs Flask · Spring Boot vs Quarkus vs Micronaut · Prisma vs Drizzle · Ruff vs uv vs Poetry

Improve Your Score

The easiest wins: add a CLAUDE.md or .cursorrules file with project conventions, ensure your README covers setup and architecture, and add basic tests. Use ai-ready as a GitHub Action to track your score automatically on every PR.