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Patchrooms | Plorik

Patchrooms dashboard and user interface - Turn AI-app feedback into agent-ready patch context.

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Patchrooms

AI & Automation

Revenue: <$100k ARR

Turn AI-app feedback into agent-ready patch context.

Overview

Patchrooms is a lightweight feedback layer designed specifically for developers and designers building apps with AI coding assistants. By inserting a single script into an app preview, reviewers can point at elements to leave text, screenshots, or voice notes. The tool automatically captures technical context like console errors and viewport details to feed directly into coding agents.

Founded year: 2026

Founder: Nikita Nikitenok

Team size: 1

Popularity: 900+ active developers

HQ: Global, Remote

Status: Active

Funding status: Bootstrapped

Customer type: B2B

Pricing: Freemium

Tech stack: JavaScript, React, Node.js, MongoDB Atlas, Google Cloud Run

Platform: Web

Integrations: Claude Code, Cursor, MCP, GitHub, Google Cloud

What it does

Automatically captures technical diagnostics including page URL, browser viewports, and console errors upon feedback submission.
Converts user feedback and interface comments directly into agent-ready markdown or Model Context Protocol reports.
Integrates smoothly with coding assistants like Claude Code, Cursor, and other AI development tools.
Streamlines the review-to-fix loop by removing the need for manual bug tickets or vague screenshots.

Who it's for

Software Developers
UI/UX Designers
AI App Builders
Product Managers

Why it works

Automated technical context capture eliminates back-and-forth communication regarding UI bugs.
Direct integration with AI coding agents speeds up bug fixes and feature adjustments.
Model Context Protocol support allows agents to read and triage feedback seamlessly.
Lightweight script installation enables rapid deployment across app previews and staging environments.

Founder story

Patchrooms was launched in 2026 by maker Nikita Nikitenok to address the messy feedback loops common in AI-generated software development. Recognizing that tools like Claude Code and Cursor build apps rapidly but rely on vague screenshot feedback, the project was created to automatically structure UI feedback into actionable agent instructions.

Alternatives

Comparison overview

Patchrooms focuses specifically on generating structured context for AI coding agents from interface reviews [one Unlike standard issue trackers or video recorders like Jam, it formats feedback into direct markdown and Model Context Protocol payloads for tools like Claude Code and Cursor n/

Social links

Website