Patchrooms

I’ll translate this chunk faithfully, keep the markdown structure intact, and return only the English markdown.## What is Patchrooms? Patchrooms is a visual feedback tool for AI-built apps and previews. It lets teams add comments, annotations, and voice notes directly on a live staging or preview build, then export that feedback as agent-ready Markdown that can be used by tools such as Claude Code, Cursor, Lovable, and v0.

The product is aimed at AI-native teams that want to keep review context attached to the interface being discussed instead of spreading it across chat threads, screenshots, and issue trackers. Patchrooms also supports threaded comments, agent plans, and links to external tools so a single room can hold the discussion around a patch or artifact review.

Key Features

• Single-script embed for previews: Add one script with data-mode="artifact-review" to a staging or preview build to create a review room on top of the live app.
• Comments on specific elements: Reviewers can point to the exact pixel, leaving notes tied to the UI instead of separate screenshots or text descriptions.
• Annotations and highlights: Arrow, highlight, and markup tools help clarify the part of the interface that needs attention.
• Voice notes with transcription: Users can record spoken feedback, and Patchrooms transcribes it into text that can be shared with an agent.
• Threaded human and agent context: Rooms can hold reviewer comments alongside an agent’s proposed plan, keeping discussion and implementation context together.
• Exportable agent-ready Markdown: Feedback can be exported in a format meant for Claude Code, Cursor, Lovable, v0, and similar tools, and agents can also read reports through the MCP server.
• External links and reports: Rooms can include diffs, customer reports, and links to tools like Jira, Linear, GitHub, or Notion.

How to Use Patchrooms

Start by embedding the Patchrooms script on a staging or preview version of your app. Share the preview with reviewers so they can leave comments, annotations, or voice notes directly in the room.

As feedback comes in, review the thread, capture the agent plan, and export the room as clean Markdown for your coding assistant or agent. If needed, connect the discussion to related diffs, reports, or external tickets before handing the context back to the implementation tool.

Use Cases

• Reviewing AI-generated UI before shipping: A developer or product lead checks a generated app preview and leaves precise feedback on the actual interface instead of in a separate document.
• Collecting design and copy edits in one place: A team member marks up a screen, adds notes on elements, and records a quick voice note when typing would slow the review down.
• Passing context to a coding agent: A reviewer exports a room as Markdown so Claude Code, Cursor, or another agent can make the requested changes with the full discussion attached.
• Tracking patch discussion across tools: A room can hold the review thread while linking out to GitHub, Jira, Linear, or Notion for related work.
• Running artifact review for a small team: A small, fast-moving team uses rooms to keep humans and agents aligned while reviewing previews, patch plans, and implementation details.

FAQ

What does Patchrooms do? It provides visual feedback rooms for AI-built app previews, letting reviewers comment on the interface and export that feedback for an agent or coding tool.

Can reviewers leave voice notes? Yes. The page says reviewers can record voice notes that Patchrooms auto-transcribes into text.

Does Patchrooms work with AI coding tools? Yes. The page mentions Claude Code, Cursor, Lovable, v0, Bolt, Replit Agent, Codex, Windsurf, OpenCode, and Cline as supported integrations or targets for exported context.

Is it limited to one workflow? No. The source shows comments, annotations, voice notes, threaded plans, diffs, and links, so it is built for review rooms that can hold several kinds of context.

Is pricing mentioned? The page only says early access is available and that no card is required. No detailed pricing is provided.

Alternatives

• Issue trackers such as Jira or Linear: Better for formal task tracking, but they do not center feedback on the live UI itself.
• Design review tools: Useful for visual annotation workflows, though they are typically focused on design files rather than AI-generated app previews.
• General collaboration tools like Notion or GitHub discussions: Good for storing context, but they are less specialized for pixel-level feedback on a running preview.
• Inline feedback or screenshot annotation workflows: Similar in spirit, but usually split the review context across separate images, threads, or documents instead of keeping it in one room.