Ultracite v7

Product Introduction

1. Definition: Ultracite v7 is a zero-configuration, production-grade preset for JavaScript/TypeScript linting and formatting tools (ESLint, Biome, Oxlint). It enforces consistent, type-safe code across human and AI-generated outputs without manual setup.
2. Core Value Proposition: Eliminates configuration fatigue by providing opinionated, framework-specific rulesets (React, Next.js) that ensure code quality, reduce review friction, and optimize AI-generated code.

Main Features

1. Zero-Config Framework Integration: Automatically detects and applies rules for React, Next.js, and other frameworks. Uses lockfile detection (e.g., Bun) during npx ultracite@latest init to scaffold optimized ESLint/Biome configurations.
2. AI Agent Harmonization: Generates IDE-specific rules (VSCode, Cursor, Windsurf) and AI-agent hooks (Claude Code, GitHub Copilot) to enforce consistent formatting during code generation. Integrates with agent loops via .cursor/hooks.json and rule files.
3. Automated Cloud Fixes: Ultracite Cloud scans repositories, auto-fixes lint issues via AI, and creates pull requests. Resolves edge cases like unused imports (useAuth.ts) or semicolon errors (Button.tsx) without local runs.

Problems Solved

1. Pain Point: Configuration fragmentation in linting setups (ESLint + Prettier + Stylelint) causing team disputes and inconsistent AI outputs.
2. Target Audience: React/Next.js developers, engineering leads at scale-ups (e.g., Vercel, Clerk), and AI-integration teams using Claude/Gemini for code generation.
3. Use Cases:
   • Enforcing type safety in AI-generated components (e.g., UserCard.tsx).
   • Automating PR fixes for distributed teams.
   • Standardizing codebases across 15+ IDEs and AI agents.

Unique Advantages

1. Differentiation: Unlike manual ESLint configs, Ultracite v7 bundles 300+ framework-specific rules with Biome’s speed (millisecond runs) and Oxlint’s rigor. Competitors (e.g., Prettier) lack AI-agent sync.
2. Key Innovation: Unified rulesets for humans and AI—e.g., auto-fixing React component structures (UserCard.tsx) and training Claude via ultracite.md rule files.

Frequently Asked Questions (FAQ)

1. How does Ultracite v7 improve AI code generation?
   Ultracite injects formatting rules into AI agents (e.g., Claude, Copilot) via hooks, ensuring generated code (like React components) adheres to type safety and avoids anti-patterns (e.g., unused imports).
2. Can Ultracite v7 replace ESLint and Prettier?
   Yes. It bundles ESLint, Biome (replacing Prettier), and Stylelint into a zero-config preset, reducing multiple config files (eslint.config.mjs, prettier.config.js) to a single setup.
3. How does Ultracite Cloud automate fixes?
   It scans PRs via GitHub bots, uses AI to resolve non-trivial lint errors (e.g., const vs. let), and deploys fixes without local runs—handling 3x faster than traditional CI/CD linters.
4. Is Ultracite v7 compatible with Bun or PNPM?
   Yes. During bun x ultracite@latest init, it detects Bun lockfiles and configures optimizations for Bun’s runtime and package manager.
5. What IDEs and AI tools does Ultracite support?
   Supports VSCode, Cursor, Windsurf, and 15+ agents (e.g., Claude Code, Aider, Gemini) via auto-generated editor configs (.vscode/settings.json) and rule files.