Add visual feedback to your Cline app

Why Cline teams need visual feedback

• Cline plans multi-step edits, so the quality of the goal you give it directly shapes the result.
• Bug reports without an anchor make Cline’s plan guess at the target.
• Patchrooms attaches selector, screenshot, goal, and constraints to each report.
• Cline then plans against an accurate target and fixes it cleanly.

How Patchrooms works with Cline

1. Embed Patchrooms on your preview build

   Add the script to the app you review while Cline edits source in VS Code.

2. Collect element-anchored reports

   Reviewers click to comment; Patchrooms captures the context.

3. Feed the report into Cline

   Paste the Markdown export into Cline so its plan targets the right element.

Add it in one prompt

Paste a script tagAdd in one prompt

Ask Cline to wire Patchrooms in for you, paste this prompt:

Add the Patchrooms review widget. Insert this script tag into the main HTML template before the closing </body> tag, exactly as written:

…then give it the snippet below. It loads on the live preview and turns on artifact-review mode: pinpoint comments anchored to the elements your reviewers click.

<script src="https://room.patchrooms.com/v1/patchrooms.js"
        data-project-key="pr_xxx"
        data-source="cline"
        data-mode="artifact-review"></script>

Or try it locally: no account, no key, no server

Reviewing a Cline artifact on your own machine? Run Patchrooms in local mode: no account, no project key, zero network calls. Pinpoint comments stay in your browser and export to Markdown you paste straight back into Cline.

<script src="https://room.patchrooms.com/v1/patchrooms.js"></script>
<script>
  Patchrooms.init({ storage: 'local', mode: 'artifact-review' });
</script>

Review workflow

Share the preview link with your team or client. Anyone clicks an element, types a comment or records a voice note (Patchrooms auto-transcribes it to clean text), and captures the selector, a screenshot, and the page context. Every comment carries a status (new, triaged, in-progress, closed) so nothing falls through the cracks. See the full UI review workflow.

Export feedback to your AI agent

Each report exports as clean Markdown with the element selector, a screenshot reference, and the artifact goal and constraints. Paste it straight into Cline and the agent fixes the exact issue: this is the heart of AI artifact review. The Patchrooms MCP server lets agents read reports directly (list_reports / get_report) and triage them (set_status). Available now; extended MCP tools (create_room, issue creation) are planned, and a @patchrooms/react package is coming for tighter React integration.