Open Source
Explore the latest AI open-source projects from GitHub and HuggingFace.
Explore the latest AI open-source projects from GitHub and HuggingFace.
React Grab is an open-source developer tool that bridges the gap between web UIs and AI coding agents by letting developers select any element on their running application and copy its full context, including React component names, file paths, and source code, directly to agents like Cursor, Claude Code, or GitHub Copilot. With over 6,000 GitHub stars and 450 daily stars gained, it has emerged as one of the fastest-growing developer tools in the AI coding space. ## What React Grab Does The tool adds an inspection overlay to development builds of React applications. Developers hover over any UI element and press a keyboard shortcut (Cmd+C on Mac, Ctrl+C on Windows/Linux) to copy the element's full context to their clipboard. That context includes the React component name, the file path where the component is defined, the component's HTML source, and the component hierarchy. This context is specifically formatted for AI coding agents. Instead of manually describing which component needs changes, developers can point at the element, copy its context, and paste it directly into their AI coding tool. The project claims this makes coding agents three times faster and significantly more accurate because the agent receives precise, unambiguous context rather than a verbal description. ## How It Works React Grab integrates at the build tool level. It works with Next.js (both App Router and Pages Router), Vite, and Webpack projects. Installation is a single command: ``` npx -y grab@latest init ``` This adds a small development-only component to the application. In production builds, React Grab is completely removed, adding zero overhead to shipped code. When active in development, the tool performs source map resolution to connect rendered DOM elements back to their React component definitions. This is what enables the file path and component name extraction that makes the copied context so valuable for AI agents. ## Key Capabilities ### Element Freezing One of the most practical features is element freezing. When inspecting elements that change on hover or disappear when focus shifts (dropdowns, tooltips, modals), developers can freeze the current DOM state to inspect it without the element vanishing. This solves a common frustration with browser DevTools inspection. ### File Opening React Grab can open the source file of any inspected component directly in the connected editor. Combined with the context copying, this creates a seamless workflow: inspect the element, open its file, and let the AI agent modify it with full context. ### MCP Integration The tool supports Model Context Protocol (MCP) integration via: ``` npx -y grab@latest add mcp ``` This enables AI coding agents to programmatically access React Grab's inspection capabilities rather than relying on clipboard-based workflows. MCP integration means agents can query the running application's component tree directly. ### Plugin System React Grab exposes a plugin API through `window.__REACT_GRAB__` that allows developers to: - Add custom context menu actions - Extend toolbar menus - Hook into lifecycle events - Customize theming The primitives API provides lower-level access to functions like `getElementContext`, `freeze`, and `openFile`, enabling developers to build custom inspection workflows. ## Framework Support The tool supports the major React build ecosystems: | Framework | Support | |-----------|--------| | Next.js App Router | Full | | Next.js Pages Router | Full | | Vite | Full | | Webpack | Full | | CDN (unpkg) | Manual setup | ## Why This Matters for AI-Assisted Development The fundamental challenge with AI coding agents is context. When a developer tells an agent to modify a button's color, the agent needs to know which button, in which component, in which file, with what current styling. Manually providing this context is tedious and error-prone. React Grab automates this context gathering. By connecting the visual UI to the source code and formatting the result for AI consumption, it eliminates the context bottleneck. This is especially valuable in large codebases where a single visual element might be composed of multiple nested components across several files. ## Technical Implementation The project is structured as a monorepo using pnpm workspaces with Turbo for build orchestration. The core package handles DOM inspection and source map resolution, while framework-specific packages (next, vite, webpack) provide build tool integration. The bundle is optimized for minimal size since it runs only in development. ## Limitations - React-only: Does not support Vue, Svelte, or other frameworks - Development-only: Cannot inspect production builds (by design) - Source map dependency: Accuracy depends on source map quality and availability - React component detection requires React DevTools-compatible component naming ## Practical Impact React Grab addresses a real friction point in AI-assisted development. As AI coding agents become the primary way developers modify code, the tools that bridge the visual application and the code editor become critical infrastructure. React Grab is positioning itself as that bridge for React developers, and its rapid growth suggests the developer community agrees this is a problem worth solving.