Description
Patchrooms serves as a comprehensive review layer for AI-built development projects. By embedding a single script on your staging or preview build, it allows teams to capture feedback in various forms such as element-anchored comments, screenshots, voice notes with automatic transcription, and console errors. This feedback is organized into a room with a status thread, facilitating solo or team collaboration.
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The platform is designed to streamline the feedback process by exporting agent-ready Markdown that can be used by coding agents like Claude Code, Cursor, Lovable, v0, and Bolt. This ensures that the context is preserved and actionable, reducing the chances of miscommunication and lost information.
Patchrooms offers a seven-day trial with full access, requiring no credit card. After the trial, the workspace remains readable and exportable, but new feedback submissions require contacting the team for setup. Clients and reviewers can comment on live previews without needing an account, and the platform supports up to 10 team members under a flat arrangement.
The platform is particularly beneficial for small, agile teams that need to move quickly without the overhead of a corporate workflow engine. It supports various workflows, including human-in-the-loop reviews, QA test passes, and hands-off auto-fix loops. Security is a priority, with data stored on managed cloud services and access controlled through organization membership.
- CategoryAI Code Review & Testing
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
Patchrooms's Core Features
Element-anchored comments
Screenshots and area annotations
Voice notes with automatic transcription
Console error and page context capture
Status thread and decision history
Agent-ready Markdown export
MCP server for coding agents
REST API and webhooks
No reviewer account required
How to use Patchrooms?
Embed: Add script to staging build
Capture: Collect feedback in rooms
Export: Generate agent-ready Markdown
Collaborate: Review with team or solo
Patchrooms's Use Cases
- AI Artifact Review
- Visual Bug Reporting
- UI Review
- Customer Feedback
- QA Feedback
