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yo-bug ๐Ÿ›

English ยท ็ฎ€ไฝ“ไธญๆ–‡

"Yo, bug!" โ€” Point at bugs, AI fixes them.

yo-bug demo

MCP Server that gives AI coding assistants QA superpowers. One install, then your AI handles the entire test-feedback-fix loop.

In vibe coding, the bottleneck is testing: humans find bugs but struggle to describe them. yo-bug solves this by letting users point, click, or type โ€” while the AI automatically receives element locations, console errors, network failures, action recordings, and annotated screenshots.

What it does

For the Human

For the AI

Click a broken element โ†’ done

Gets: CSS selector + computed styles + React/Vue component name

Draw on a screenshot โ†’ done

Gets: annotated PNG as inline image content

Type a behavior bug ("scroll doesn't auto-jump") โ†’ done

Gets: structured text feedback linked to a checklist case

Check off a multi-step test case

Gets: which cases passed/failed, with linked feedback per case

Just use the app normally

Gets: last 100 user actions + 50 console errors + failed network calls

The AI drives the entire workflow through MCP tools. Humans never need to learn commands, configure proxies, or modify their code.

Install

npx yo-bug install

(or npm install -g yo-bug && yo-bug install if you prefer a global install)

This auto-detects your AI tool (Claude Code / Cursor / Windsurf) and writes the MCP config. One time, done forever.

How it works

AI writes code
    โ†’ AI calls start_test_session()
    โ†’ Reverse proxy starts, injects test SDK into HTML responses
    โ†’ Browser opens (zero code changes to your project)
    โ†’ AI pushes grouped test cases (8 QA dimensions, multi-step scenarios)
    โ†’ Human runs each case; pass/fail at the case level
    โ†’ When failing, picks feedback mode: element / screenshot / text
    โ†’ AI calls list_feedbacks() + get_feedback() โ€” sees diagnostic data
    โ†’ AI must state root cause BEFORE writing fix (enforced by tool response)
    โ†’ AI fixes โ†’ calls resolve_feedback() โ†’ browser shows verify card
    โ†’ Human clicks Fixed / Locate (jump to element) / Still broken
    โ†’ Loop until done

MCP Tools (9 total)

Session Control

Tool

Description

start_test_session(port?, open?, storage?)

Start test mode: auto-detect dev server, launch reverse proxy with SDK injection, open browser. storage defaults to "project" (saves under <cwd>/.yo-bug/feedback/); pass "home" for ~/.yo-bug/

stop_test_session()

Stop test mode, return session summary (feedback stats, checklist results, weak dimensions, whether dev server was auto-closed)

Feedback

Tool

Description

list_feedbacks(status?, type?, limit?, all_sessions?)

List submitted feedback. Defaults to current session only

get_feedback(id)

Full details: element info, console errors, network errors, action steps, annotated screenshot. Response includes a mandatory diagnostic protocol that forces the AI to identify root cause before writing code

resolve_feedback(id)

Mark as fixed โ†’ pushes a rich verification card to the browser (with screenshot thumbnail, element selector, page URL, locate button). Human confirms

Test Checklist (Grouped Test Cases)

Tool

Description

create_checklist(title, cases)

Push structured test cases to browser. Each case has a title, sequential steps[], expected result, priority, and QA dimension

get_checklist_status()

See which cases passed/failed and any user feedback per case

Test History

Tool

Description

save_test_record(module, ...)

Save test results per module. Accumulates history for future reference

get_test_history(module)

Get historical test records. Shows frequently failing scenarios so AI prioritizes coverage

8 QA Test Dimensions

The create_checklist tool embeds professional QA methodology. AI is guided to cover:

  1. Happy path โ€” Core functionality works end-to-end

  2. Empty/boundary โ€” Empty inputs, special chars, max length, zero/negative values

  3. Error states โ€” Offline, server errors, timeouts, recovery

  4. Duplicate ops โ€” Double-click, re-submit, concurrent requests

  5. State recovery โ€” Refresh, back/forward, deep links, tab close/reopen

  6. Loading/async โ€” Loading states, failed loads, stale data

  7. Responsive โ€” 375px mobile width, touch targets, overflow

  8. Interaction detail โ€” Tab order, Enter/Escape, disabled states, focus

Each case is multi-step (open page โ†’ fill form โ†’ click submit โ†’ verify result), so the human marks a whole scenario passed/failed rather than micro-managing each step.

Three Feedback Modes

When a checklist case fails, users pick a mode that fits the bug:

Mode

Shortcut

When to use

Element

Alt+E

Visual / component bug โ€” click the broken element, AI gets selector + styles + framework component name

Screenshot

Alt+S

Layout / styling bug โ€” drag to select a region, annotate with arrow / rect / circle / freehand / text

Text

(Checklist โœ—)

Behavior / logic bug ("doesn't auto-scroll", "wrong order") โ€” pure description, AI uses console/network data to find cause

Other shortcuts: Alt+X toggle mode bar, Esc exit anything.

In-Browser Feedback Management

Above the floating bug button you'll see a list icon with a red badge showing open feedback count. Click it to:

  • See all open feedback you've submitted this session

  • Edit description inline (click description text)

  • Delete a feedback (trash icon, confirms first)

  • View screenshot thumbnails

When all feedback is resolved, the button auto-hides.

Auto-Captured Context

Every feedback submission automatically includes:

  • Console errors โ€” last 50 console.error/console.warn entries with stack traces

  • Network failures โ€” last 50 failed fetch/XHR requests with status, URL, duration

  • Unhandled exceptions โ€” last 50 window.onerror + unhandledrejection events

  • Action recording โ€” last 100 user actions (click / input / navigate / scroll / keypress) with timestamps

  • Element info โ€” CSS selector, tag, text content, bounding rect, computed styles, React/Vue component name (when in element mode)

Verify-Fix Flow

When AI calls resolve_feedback(), a rich verify card appears on the left:

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ–ผ VERIFY FIX            [3] โ”‚  โ† collapsible header with count
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ [thumbnail*] "Button click  โ”‚
โ”‚              does nothing"   โ”‚
โ”‚              bug ยท element   โ”‚
โ”‚  ๐Ÿ“ <button> #submit-btn    โ”‚  โ† only when element info exists
โ”‚  ๐Ÿ”— /orders                  โ”‚
โ”‚  โฑ 5 min ago                โ”‚
โ”‚  [๐ŸŽฏ Locate*] [โœ“] [โœ—]        โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
   * thumbnail only if a screenshot was attached
   * Locate only if an element selector was captured
  • ๐ŸŽฏ Locate scrolls to the element + flashes a red pulse twice. If the verify card was submitted on a different URL, it navigates there first. If the element no longer exists on the current page, shows a toast

  • โœ“ Fixed confirms the fix โ†’ status: resolved

  • โœ— Still broken sends it back โ†’ status: open (AI sees it in next list_feedbacks call)

  • Click the header bar to collapse the whole stack when it gets in the way

Theming

  • Auto-detects prefers-color-scheme (light or dark)

  • All UI uses design tokens, contrast-verified (WCAG AA)

  • Glass-morphism panels with backdrop blur; clearly distinct from white host pages

Works Inside Modal Dialogs

If your app opens a <dialog>.showModal() (which traps focus and inerts the rest of the page), yo-bug still works: it detects the open modal via the :modal selector plus a MutationObserver, and relocates the SDK host inside the dialog so focus is shared.

This means you can submit text feedback even when a modal is open โ€” the textarea will accept input normally. When the dialog closes, the host moves back out.

i18n

SDK auto-detects <html lang="...">:

  • Any value starting with zh (zh, zh-CN, zh-Hans, ...) โ†’ Chinese interface

  • Everything else โ†’ English interface

MCP tool descriptions are in English (AI translates to the user's language naturally in chat).

Architecture

Browser โ†’ Reverse Proxy (localhost:3695+) โ†’ Dev Server (localhost:5173)
              โ”‚
              โ”œโ”€ Auto-injects SDK into HTML responses
              โ”œโ”€ WebSocket passthrough (HMR works normally)
              โ”œโ”€ Feedback API (POST/GET/PATCH/DELETE)
              โ”œโ”€ Checklist API (push/poll/update)
              โ””โ”€ Verify API (push/confirm)

MCP Server (stdio) โ† AI Tool (Claude Code / Cursor / Windsurf)
              โ”‚
              โ”œโ”€ start/stop_test_session โ†’ controls proxy lifecycle
              โ”œโ”€ feedback tools โ†’ reads user submissions w/ diagnostic protocol
              โ”œโ”€ checklist tools โ†’ pushes grouped test cases, reads results
              โ””โ”€ history tools โ†’ persists test records per module

The proxy auto-detects dev server framework (Vite, Next.js, CRA, Webpack, Nuxt, Angular, Svelte, Astro) and port. If the dev server is already running, it connects. If not, it starts one. On stop_test_session it cleans up โ€” and tells the AI whether the dev server was auto-closed or left running (because the user had started it themselves).

If port 3695 is taken, yo-bug auto-increments to 3696, 3697... up to 3795. Multiple projects can run yo-bug simultaneously without conflict.

Security

  • All data stays local โ€” feedback files in <project>/.yo-bug/feedback/ by default (auto-.gitignore'd), or ~/.yo-bug/ if you opt in

  • Feedback IDs validated against path traversal

  • Input fields whitelist-filtered and length-limited

  • Network interceptor uses exact pathname matching (no substring false positives)

  • No data sent to any external service

Requirements

  • Node.js >= 18

  • Any MCP-compatible AI tool

  • A current-version browser (Chrome / Edge / Firefox / Safari)

License

MIT

A
license - permissive license
-
quality - not tested
C
maintenance

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