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Send your AI the bug. Not a description of it.

Record any app on your phone or in Chrome. clip.qa hands your coding agent everything it needs.

Send a video clip. Get a bug report AI can read.

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  • No SDK required
  • Works with Claude, Cursor, Copilot
  • Free to start

This checkout is broken. Go on, tap Pay.

9:41Tab & Co.
Checkout
Field notebook2x$24.00
ShippingFree
Total$24.00
Paid. Receipt on its way.

REC 00:00 500 /api/checkout TypeError: receiptId

The problem

AI builds fast.
Bugs ship faster.

63% of developers use AI coding tools daily. The speed is incredible — but QA hasn't caught up.

Your AI builds bugs your AI can't explain. clip.qa records the bug, captures every signal — console, network, env, device state — and writes a structured report your AI coding tool can actually act on. QA teams use it to ship 12 hours faster per bug.

  1. AI code ships 1.7x more bugs

    AI-generated PRs have nearly twice the defect rate. The faster you ship, the more bugs slip through.

  2. "Steps to reproduce: it broke"

    Vague bug reports waste 84% more engineering hours. Without video and device context, devs play detective instead of coding.

  3. SDK tools can't test everything

    Traditional bug reporting SDKs only work inside your own app. You can't test competitor apps, third-party integrations, or pre-release builds.

  4. AI can't watch your video

    Claude Code and Cursor can write brilliant fixes — but they can't process screen recordings. Your QA team captures a video, then manually writes a bug report the AI can read. That's the bottleneck.

    You saw a spinner. The app said a lot more.

    Console, network, taps, device state: clip.qa captures them with the recording, with no SDK in your app.

    Now cut.

    Five seconds of video. Everything your agent needs.

    Report · clip-1 · 5s kept

    Checkout hangs forever after tapping PayHigh

    Steps to reproduce
    1. Checkout opened
    2. Tap: Pay $24.00
    3. Tap: Pay $24.00 (again)
    Expected
    Payment confirms and the receipt screen opens.
    Actual
    POST /api/checkout returns 500. The spinner never clears and repeat taps are ignored.
    Probable cause
    confirmOrder reads receiptId from an error response (checkout.ts:48).
    Network
    • POST /api/checkout pending
    • POST /api/checkout 500 Internal Server Error (312 ms)
    Console
    • TypeError: Cannot read properties of undefined (reading 'receiptId') at confirmOrder (checkout.ts:48)
    • Ignored: order already in flight checkout.ts:31
    Device
    Chrome 142 · macOS · 1512x982 @2x

    Sample app. This report is built in your browser from what you just did. On a real recording, clip.qa's AI writes it.

    Your agent reads it. Then writes the fix.

    Connect over MCP once. Claude Code, Cursor and Windsurf can pull the report, the network trace and the console on their own. Or paste the markdown into anything.

    claude mcp add clip-qa-team --transport http https://mcp.clip.qa/mcp 
    Sample transcript · clip-1> fix the bug in clip-1tool  getDetails("clip-1")          -> Checkout hangs forever after tapping Paytool  getNetworkRequests("clip-1")  -> POST /api/checkout 500tool  getConsoleLogs("clip-1")      -> TypeError at checkout.ts:48edit  checkout.ts-     const { receiptId } = await res.json();+     if (!res.ok) return showPaymentError(res.status);+     const { receiptId } = await res.json();tool  linkFix("clip-1", "a41c9f2")  -> fix linked to report

    Exports to Claude Code, Cursor, GitHub Copilot, Jira, Linear, GitHub Issues, Slack, Notion.

    Coming Soon

    The Autonomous QA Loop

    What if Claude Code could test its own fix on a real device? clip.qa connects to your AI coding tool via MCP, runs tests on real iOS and Android devices, and feeds structured bug reports back — automatically. The loop keeps going until every test passes.

    1. 1

      AI calls run_tests

      Claude Code or Cursor triggers clip.qa via MCP. No manual step — your AI agent initiates the test run itself.

    2. 2

      Tests run on real devices

      clip.qa executes tests on real iOS and Android devices using Maestro — capturing screenshots, device state, and UI hierarchy.

    3. 3

      Bug Package returned

      Failures come back as structured Bug Packages — steps to reproduce, screenshots, suspected files, and fix suggestions the LLM can act on.

    4. 4

      AI fixes, retests

      The AI reads the Bug Package, writes the fix, and calls run_tests again. The loop continues until all tests pass.

    Loops until all tests pass

    Real devices

    Not emulators. Not mocks. Tests run on actual iOS and Android hardware via Maestro — 3.6x faster than Appium.

    Bidirectional MCP

    Other tools send tests one way. clip.qa sends results back to the AI as structured data it can act on. That's the loop.

    Works with any app

    Flutter, React Native, Swift, Kotlin — or no framework at all. Provide Maestro YAML or let AI generate tests from screenshots.

    Join the waitlist

    Be first to try the autonomous QA loop when it launches.

    Fixed.

    Tap it. It works now.

    9:41Tab & Co.
    Checkout
    Field notebook2x$24.00
    ShippingFree
    Total$24.00
    Paid. Receipt on its way.

    No SDK. So it works on any app.

    Yours, a client's, a competitor's. You record the screen, nothing gets installed.

    Where you record.

    iOS, Android and a Chrome extension. Keep the recording private or share a link.

    Coming soon: your agent tests its own fix on real devices, and the loop runs until it passes.

    How it works

    Three taps. Bug report done.

    No forms. No templates. No "steps to reproduce" fields. Just record, clip, and let AI handle the rest.

    1. 01

      Record the bug

      Screen-record the bug on your phone. Tap where it breaks, narrate what happened. clip.qa captures everything — device info, OS version, network state, timestamps.

      Recording...
      00:12.4
    2. 02

      clip.qa trims the noise

      Built-in editor lets you cut to the exact moment. Remove sensitive data, highlight the broken flow. Keep only what matters.

      0:040:09
      Section clipped — 5s kept
    3. 03

      AI writes the report

      One tap. clip.qa's AI converts your video into a structured bug report with steps to reproduce, expected vs actual behavior, and full device context. The output is formatted so Claude Code, Cursor, and other AI coding tools can understand it instantly — no manual translation needed.

      AI Report Generated
      SummaryLogin button unresponsive after entering valid credentials. Auth API returns 200 but UI stays on login screen.
      Steps to Reproduce1. Open app
      2. Enter credentials
      3. Tap "Sign In"
      4. Spinner, then nothing
      Copy for ClaudeJira

    Features

    Everything you need.
    Nothing you don't.

    Built for the way developers actually work — fast, visual, and AI-native.

    AI-Powered Reports

    Instead of your QA team manually writing bug reports, clip.qa's AI analyzes the recording and generates an extensive report — steps to reproduce, expected vs actual behavior, device context, and environment details. More thorough than any human could write.

    clip.qa 9:41
    Bug Report #127
    Login screen — auth flow broken
    AI Analysis
    Export to ClaudeShare
    Bug fixed12h faster
    AI-readyLLM context

    LLM-Ready Output

    AI can't watch video. clip.qa converts your recording into structured markdown with steps to reproduce, device context, and expected vs actual behavior — ready for Claude Code, Cursor, or Copilot to fix directly.

    Sample output · clip-1.md# Checkout hangs forever after tapping Pay
## Steps to reproduce
Checkout opened
Tap: Pay $24.00
## Expected
Payment confirms and the receipt screen opens.
## Actual
POST /api/checkout returns 500.
## Device
Chrome 142 · macOS · 1512x982 @2x

    One-Tap Recording

    Record any bug on any app right from your device. No setup, no permissions popups, no excuses.

    Trim to What Matters

    Clip the recording to the exact moment. Annotate, highlight, mark the broken part.

    No SDK required to start

    Most bug tools force you to embed an SDK before you can capture anything. clip.qa works without one — install, record, done. Optional deep instrumentation available later for teams who want it.

    Works on Any App

    Test your own app. Test a competitor's. Test a client's. If it runs on a phone, you can report bugs on it.

    Impact

    Better bug reports, faster fixes.

    12h
    faster bug resolution
    84%
    fewer troubleshooting calls
    $63
    saved per bug report
    60-600x
    ROI on every report

    Integrations

    Export anywhere. Fix everywhere.

    Bug reports go where your team already works — from AI coding tools to project management.

    Claude AI
    Cursor AI
    GitHub Copilot AI
    Jira PM
    Linear PM
    GitHub Issues PM
    Slack Chat
    Notion Docs

    Testimonials

    Developers love shipping fixes,
    not writing reports.

    "We switched from Loom + Notion to clip.qa and cut our bug triage time in half. The AI reports are scarily accurate."
    QA LeadSeries B Fintech Startup
    "I paste clip.qa reports directly into Cursor and it fixes the bug on the first try. That never happened with screenshots in Slack."
    Senior Mobile DeveloperAI Productivity App
    "My team used to spend 30 minutes per bug just getting the context right. Now it's under 5. clip.qa paid for itself in the first week."
    Engineering Manager40-person Dev Agency

    Pricing

    Simple, honest pricing.

    Every plan includes MCP, integrations, iOS, Android, and Chrome extension. No hidden fees.

    Free

    Free for everyone

    $0
    • 30 bug reports / month
    • 30 AI-assisted reports / month
    • 5 shareable links / month
    • Recordings up to 5 minutes
    • MCP for Claude Code, Cursor, Windsurf
    • Jira, Linear, Slack, GitHub integrations
    • iOS, Android, Chrome extension
    Start for free
    Most popular

    Team

    For developers + QA teams

    $12.99 /month
    • Everything in Free, plus:
    • Unlimited bug reports
    • 200 AI-assisted reports / month
    • 50 shareable links / month
    • Recordings up to 15 minutes
    • Access controls
    • Anomaly detection
    • Fix-attempt history
    • Env tagging
    Start 14-day free trial

    Enterprise

    For large orgs — yearly only

    Custom
    • Everything in Team, plus:
    • Unlimited shareable links
    • SAML / SSO login
    • Audit logs
    • Workspace analytics
    • Priority support
    • Dedicated CSM
    Request a trial

    FAQ

    Got questions?

    What is clip.qa?

    clip.qa is a mobile bug reporting tool that turns screen recordings into structured bug reports. Record a bug on your phone, and clip.qa's AI generates steps to reproduce, device context, and environment details. Export to Jira, Linear, GitHub Issues, or as LLM-ready markdown for AI coding tools. No SDK required — works on any app.

    Do I need to install an SDK or add code to my app?

    Nope. clip.qa works at the device level. Download the app, start recording. No code changes, no build dependencies, no engineering tickets.

    What apps can I test with clip.qa?

    Any app that runs on your phone. Your own apps, client apps, competitor apps, beta builds from TestFlight or Firebase App Distribution. If you can open it, you can clip it.

    How does the AI generate bug reports?

    clip.qa analyzes your screen recording to identify UI state changes, error patterns, and user actions. It produces a structured report with steps to reproduce, expected vs actual behavior, and device/environment details — automatically.

    Can I use clip.qa with my existing issue tracker?

    Yes. Export to GitHub Issues, Linear, Jira, Slack, or any tool that accepts markdown. Integrations are included in every plan — Free, Team, and Enterprise.

    How is clip.qa different from Jam?

    Jam is browser-only. clip.qa is mobile-first and works on any native iOS or Android app. Unlike Jam, clip.qa requires zero SDK installation and outputs LLM-ready reports optimized for AI coding tools like Claude Code and Cursor.

    What does "LLM-ready export" mean?

    clip.qa formats bug reports as structured markdown and JSON that AI coding tools (Cursor, GitHub Copilot, Claude, etc.) can parse and act on. Paste a clip.qa report into your AI tool and it has full context to suggest or apply the fix.

    What is Vibe QA — and why does it matter?

    Vibe QA is quality assurance for apps built with AI coding tools (vibe coding). It closes the loop: ship fast with Claude Code or Cursor, catch bugs fast with clip.qa. Traditional QA is too slow for AI-native development velocity. clip.qa is the first dedicated Vibe QA tool — record a bug, get a structured LLM-ready report, feed it back to your AI coding tool to fix. Learn more about Vibe QA →

    Does clip.qa work with OpenClaw projects?

    Yes. clip.qa works with any app built with OpenClaw or any other AI coding framework. Record a bug in your OpenClaw app, generate a structured report, and feed it to your OpenClaw agent — which can then implement the fix autonomously. See the OpenClaw QA workflow →

    Is my data safe?

    Recordings are processed on-device where possible and encrypted in transit. We don't store your recordings longer than needed for report generation. Full details in our privacy policy.

    What happens when my free reports run out?

    You can still record and edit, but generating AI reports pauses until the next month or until you upgrade to Team. No pressure, no dark patterns. Your choice.

    Clip it. Fix it.

    Your next bug report shouldn't take 30 minutes.

    Join QA teams already saving 12 hours per bug with AI-powered reports. Free to start. No SDK. No meetings required.

    You never broke it. Scroll up, it's still broken. Scroll up