Description
Pinboard lets designers & QA directly tag issues on your live site, auto-collect logs, CSS styles, network data, console context — and hand it straight to an AI copilot for fixes. Experience the seamless transition from bug discovery to AI-powered resolution. Click any element on your live site and tag it with a description. No more screenshots needed. We automatically capture console logs, CSS styles, network data, and browser state. Pass the context to Claude or Cursor via our MCP to generate instant code fixes. Everything you need to stop the back-and-forth between design, QA, and engineering. Click any DOM element on the live page and pin feedback directly to it. We persist the exact CSS selector so the issue is always reproducible. One click captures redux state, network requests, and console errors — no extra configuration. See every event, network call, and state change leading up to the bug on an interactive timeline. Connect your issue tracker directly to Claude, Cursor, and GitHub Copilot via Model Context Protocol. Your AI assistant gains real project context — not just code, but bugs and feedback too. Share issues via unique links or push them directly to Jira, GitHub Issues, and Slack channels. Comments live on the exact element where the issue was pinned. QA, design, and engineering discuss in the same thread — no Slack ping-pong required. Install the Pinboard extension to transform any live website into a bug-reporting canvas. No more screenshots, screen recordings, or manual data entry. Hover over any element to automatically highlight its code and styles. Auto-collects console logs, network requests, and technical context. Issues are instantly pushed to your dashboard and team's workspace. The Pinboard dashboard gives you a complete timeline of every issue, with all the technical context AI needs to fix it.