Domscribe

Categories: Coding & Developer Tools, Automation / Agents | Pricing: Free | Official Website ↗

Domscribe provides AI coding agents with visual context of the frontend by mapping DOM elements to their exact source code locations.

Domscribe enhances AI coding agents by giving them the ability to "see" the frontend. It bridges the gap between an agent's code-reading capabilities and the visual representation of a UI. By running at build time, Domscribe assigns stable IDs to DOM elements, creating a manifest that maps each ID to its precise file, line, and column in the source code. This allows agents to instantly resolve UI elements and make accurate edits. Beyond source mapping, Domscribe enables agents to query live DOM snapshots, component props, and state before and after making changes, providing full context for edits and verification. It supports various frameworks and bundlers, integrates with multiple AI coding agents via the MCP protocol, and ensures zero production impact by stripping its components from production builds. Users can also click UI elements to describe desired changes in natural language, which Domscribe translates into source-level edits for the agent.

Key Features

Build-time stable IDs for DOM elements
Deep runtime capture of live props, state, and DOM snapshots
Bidirectional source-to-DOM and DOM-to-source querying
Framework-agnostic (React, Vue, Next.js, Nuxt)
Bundler-agnostic (Vite, Webpack, Turbopack)
PII redaction for sensitive data
Annotations stored in local repository
Real-time feedback via WebSocket relay

Pros

Provides AI agents with precise UI context, reducing errors
Offers stable IDs for elements, robust against HMR and fast refresh
Captures deep runtime context including props and state, not just HTML
Works with multiple popular frontend frameworks and bundlers
Fully local operation with zero cloud dependency
Open source with an MIT license

Cons

Requires integration with an MCP-compatible AI agent
Setup involves adding a bundler plugin and agent plugin
Primarily focused on frontend development workflows
Relies on specific framework adapters for deep runtime capture
No direct mention of support for non-JSX/Vue templating languages

Use Cases

Fixing UI bugs with AI agents
Implementing UI changes described in natural language
Verifying AI agent edits against live DOM and component state
Providing visual context to AI agents for frontend refactoring

Best For

Frontend developers using AI coding agents
Teams building complex UIs with AI assistance
Developers seeking to improve AI agent accuracy in UI changes
Open-source contributors to AI development tools

Integrations: React, Vue, Next.js, Nuxt, Vite, Webpack, Turbopack, Claude Code, Cursor, GitHub Copilot

Platforms: Web

Watch demo on YouTube ↗

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