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rootline - Capture webpage evidence your AI coding agent can fix.

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Rootline turns hard-to-reproduce web bugs into structured evidence for developers and coding agents. Select elements, describe actual vs expected behavior, and capture annotated screenshots, console logs, network requests, and screen recordings. Export HTML, Markdown, or JSON reports with AI-ready context for Codex, Claude Code, Cursor, and teams. Rootline is local-first, with direct upload to your own Tencent COS or Alibaba OSS. No AI model calls, repository scanning, or all-sites access.

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Hi Product Hunt, I’m sharing Rootline, a Chrome extension for turning browser bugs into evidence developers can work from. The problem is familiar: a bug report includes a URL and “this looks wrong,” but the useful context is gone by the time someone opens it. Rootline lets you select the affected elements, describe the actual and expected behavior, and capture an annotated screenshot, console logs, and network activity from the moment you start collecting. Add a screen recording when timing matters. When you’re done, Rootline exports an HTML report, Markdown, JSON, and an AI-ready context prompt for Codex, Claude Code, Cursor, or another coding agent. The prompt points the agent to the report, asks it to inspect the repository rules, locate the root cause, make the smallest useful change, and run the relevant tests. Privacy is a product decision. Rootline saves reports to your Chrome Downloads folder by default. If you need to share them, it uploads directly to your own Tencent COS or Alibaba OSS bucket. Rootline does not receive your reports, call an AI model, scan your repository, or require broad all-sites access. This is an early release, and I’d love feedback on the capture workflow, report format, and the handoff to coding agents. What would make Rootline more useful in your bug-fixing process?