Vynix: Visual Bug Reports for AI Coding Agents

Click any element to capture DOM, console & network context into AI-ready bug reports for Cursor, Copilot & Claude.

Vynix is the visual feedback layer built for AI coding agents. Click any element on a live website, leave feedback, and instantly capture the structured context an AI coding agent needs to fix the issue. Instead of vague bug reports and screenshots, Vynix collects the element details, DOM and CSS selectors, console and network diagnostics, a screenshot, and page metadata, then hands it to your agent in a format it can actually act on. Built for developers, agencies, QA teams, founders, and product managers shipping with AI-assisted development. WHAT YOU CAN DO ✓ Point-and-click feedback on any website ✓ Element, text-selection, and region capture modes ✓ Automatic DOM, CSS selector, and page-context collection ✓ Console errors and failed network requests captured with each note ✓ Screenshot capture with every annotation ✓ AI-ready prompts for Claude, Cursor, GitHub Copilot, Gemini, Codex, and more ✓ One-click GitHub issue creation ✓ Export as a Markdown report, an AI prompt, or JSON ✓ Team collaboration with read-only review links ✓ Native MCP server so AI coding agents read your feedback directly ✓ Works on staging, development, and production sites HOW IT WORKS 1. Open the Vynix extension on any page. 2. Click an element, select text, or drag a region. 3. Add your feedback. 4. Vynix captures the screenshot, diagnostics, and context automatically. 5. Send it to your Vynix workspace. 6. Generate an AI-ready prompt or create a GitHub issue. PRIVACY Vynix captures only what a note needs. It never records passwords, cookies, authentication tokens, or browser storage, and it runs isolated in a Shadow DOM so it never interferes with your site. Vynix turns a single click into a fully contextualized, AI-ready work item your developers and coding agents can act on immediately.