This is a full-stack web application that converts screenshots, images, text descriptions, and video recordings into functional code—primarily HTML with Tailwind CSS, but also supports React, Vue, Bootstrap, and Ionic stacks. The backend is a FastAPI server with a WebSocket-based streaming architecture. It orchestrates multiple AI models (OpenAI, Anthropic, Gemini) through a modular provider abstraction layer, using an agent system with tools such as create_file, edit_file, generate_images, extract_assets, and screenshot_preview. The frontend is built with React, Zustand for state management, Tailwind CSS, and shadcn/ui components. Users can upload images, paste URLs, type descriptions, import existing code, or record screen videos. Generated code is presented with live preview (desktop/mobile), version history (commits and variants), design system management, and an interactive select-and-edit mode for making targeted updates. The application also includes a sophisticated evaluation infrastructure for benchmarking different models and prompts, with agent run logging, cost tracking, and prompt reports that help developers compare outputs across configurations. Although primarily an application, the extensive eval system gives it a hybrid character with data-research elements.
Chef is a production-grade AI agent that generates full-stack web applications through an interactive chat interface. It integrates a multi-provider LLM orchestration layer (Anthropic, OpenAI, Google, xAI) with a WebContainer-based sandbox to run generated code in the browser. The system allows users to chat with an agent that can create, edit, view, and deploy code to the Convex backend platform. It provides a code editor (CodeMirror), file tree, terminal, live preview, and sharing/cloning features. The architecture is a monolith with a Remix frontend, Convex backend for persistence and real-time updates, and a custom agent loop (chef-agent) that manages context, tool execution, and message streaming. The repository includes a CLI tool (chefshot) for headless generation and a test-kitchen for automated evals.
This repository is an AI-powered landing page generation tool that converts textual prompts into complete HTML websites. It uses the GLM 4.7 language model via an Anthropic-compatible API to generate 100+ industry-specific landing pages, incorporating UI/UX best practices from a built-in design knowledge base. The system features sequential processing with status tracking and includes a reusable BM25 search implementation for querying design guidelines.