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Browser extension and AI generator that copies CSS from any site and turns designs or screenshots into code.
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
AI tool that explains, optimizes, refactors and reviews code, with playful explanation styles for learners.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
No public pricing
No public pricing
No public pricing
- ✦Copy CSS/HTML from any website
- ✦Image and screenshot to code
- ✦AI React and HTML generators
- ✦Framework conversion (React, Tailwind, Vue)
- ✦Interactive editor with live preview
- ✦Free HTML-to-JSX and CSS-to-Tailwind tools
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦AI code explanation in plain language
- ✦Multiple explanation styles/personas
- ✦Code optimization suggestions
- ✦Code refactoring
- ✦Code review
- ✦Example algorithms to learn from
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- →Cloning UI elements from live sites
- →Turning mockups into code
- →Generating React components fast
- →Converting CSS to Tailwind
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Understanding unfamiliar code
- →Learning how algorithms work
- →Refactoring and cleaning up code
- →Getting a quick AI code review
- →Explaining code to beginners
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps