Patchrooms

Patchrooms: Turn AI-app feedback into agent-ready patch context. | Product Hunt

Patchrooms

Launched this week

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

84 followers

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

84 followers

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Testing and QA software

Drop one script into any AI-built preview. Reviewers point at elements and leave text, screenshots, or voice notes. Patchrooms captures URL, viewport, browser, console errors, and element context, then turns feedback into agent-ready markdown or MCP reports for Claude Code, Cursor, and other coding agents. Not tickets — patch context.

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Launch tags:Productivity•Developer Tools•Artificial Intelligence

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Hey Product Hunt — I’m building Patchrooms because AI made app creation much faster, but feedback got messier.

Tools like Claude Code, Cursor, Lovable, Bolt, and v0 can generate previews quickly. But the review loop still often becomes screenshots in Slack, vague comments like “this button feels off,” manual tickets, and prompts that lose the actual UI context.

Patchrooms is a lightweight feedback layer for AI-built apps. Add one script to a preview, let anyone point at an element and leave feedback, and Patchrooms captures the useful context automatically: URL, viewport, browser, console errors, screenshots, selected text, voice notes, and element context.

The output is not just a ticket. It is patch context that can be copied into Claude Code or Cursor, fetched through MCP, or sent into your own workflow.

The goal is simple: make the review-to-fix loop feel as fast as the build loop.

I’d love feedback from builders, founders, devs, designers, and anyone using AI tools to ship product interfaces.

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2d ago

This hits a real pain. I run a small beta with a handful of testers and their feedback arrives as WhatsApp screenshots with "the button doesn't work" — no browser, no console, no context. I end up playing detective before I can even prompt the fix.

Capturing console errors + element context automatically and outputting it as agent-ready markdown is exactly the missing piece between "user complains" and "Claude Code fixes it."

Question: does the script work on production apps too, or is it designed mainly for preview/staging environments?

Nice one, Nikita. Trying this with my next beta round.

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1d ago

Maker

@josedamian

Thanks José — that "playing detective" before you can even prompt the fix is exactly the pain I built this for. A WhatsApp "the button doesn't work" is the most expensive feedback there is.

On your question: right now I use Patchrooms myself on staging for another product, and it already saves me real time. It's still early access, so personally I wouldn't drop it straight into prod without a staging run first. But the bigger idea is that the script should absolutely work in production too — especially for smaller teams without a dedicated QA crew, so your own users help you build the product. In the AI-coding era a good report can do most of the work on a bug; the trick is shaping it well and handing it to the agent. That's the whole reason Patchrooms exists — not a ticket, patch context.

Honest caveat: in-widget auth to block abuse (email-with-code, SSO, and a token bridge to your own backend) is on the roadmap. But even today you can put it on prod — you just gate who sees the widget and lock reports to your own domains.

If you want to wire it up, the fastest path is to point your own agent at the docs (docs.patchrooms.com) and let it drop the widget in — I think it'll handle that well. And if you have more questions, or want to talk through a real launch on your product, reach out via the form on the site or right here. Would genuinely love to see how your next beta round goes.

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19h ago

Closing the review-to-fix loop to match the build loop is exactly the gap I feel right now. Pasting "this button feels off" into Claude Code never carries enough context. When a reviewer points at an element, does it grab a stable selector so the patch still lands after the next rebuild?

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1d ago

Maker

@ianhxu Honestly, the anchor I lean on isn't a CSS selector — it's the selected text plus the URL. When a reviewer highlights the thing they mean, the report carries that exact text and the page URL, and that's usually enough for the agent to find the component: the URL tells it which page/area, the text pins the element. We do attach a best-effort CSS selector too, but I treat it as a hint, not the source of truth — a positional selector drifts exactly when you'd expect, on a big regeneration, so I won't oversell it.

For rebuild-proof anchoring I think the honest answer is explicit, not inferred. I'm building a small declarative library that tags components with stable, semantic data attributes — you locate by meaning ({component, name, label}), not by DOM path, so the anchor survives any regen by design. I built the same idea in a previous product, and the nice side effect is it doubles as your e2e/Playwright locators — one tag, used by both reviewers and tests. Happy to ping you when it's out. How are you handling it today — adding test ids, or letting the agent re-find from context?

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1d ago