据 AlphaMoat 统计,截至 2026-09,Chrome 插件 AI Live Terminal Bridge 用户数为 45,环比 -2.2%,评分 5(1 人评价),在全部 9,324 款 AI 浏览器插件中排名第 5,663 位,在「编程开发」分类(601 款)中排名第 351 位。
Captures console logs & network activity from localhost for AI debugging. Privacy-focused, local-only monitoring. Give your AI coding assistant complete visibility into your development environment, terminal and browser.
Most AI coding tools are blind to your runtime environment. They write code, but they can't see if your local server crashed in the terminal or if your frontend is throwing 401 errors in the console. You are forced to copy-paste logs back and forth.
AI Live Log Bridge solves this by feeding both log streams directly to your AI (Claude Desktop, Cursor, Windsurf, etc.) via MCP.
1. It Sees Your Terminal (Backend) Command Output: Automatically captures output from commands like npm run dev, python manage.py, or docker-compose.
Crash Detection: If your server crashes or a test fails, the AI sees the stack trace immediately.
Secret Redaction: Automatically hides API keys and secrets (e.g., sk-...) before the AI reads the logs.
2. It Sees Your Browser (Frontend) Console Sync: Feeds console.log, console.error, and exceptions directly to the AI context.
Network Monitoring: AI can inspect failed fetch/XHR requests, 404s, and 500 errors in real-time.
Debug Faster: The AI can correlate a backend error in your terminal with the resulting frontend error in your browser instantly.
How It Works This extension works in tandem with the ai-live-log-bridge CLI tool.
Terminal: Wraps your commands (e.g., ai npm run dev) to capture backend logs.
Browser: This extension captures frontend activity.
Bridge: Both streams are unified, allowing your AI to debug full-stack issues without you lifting a finger.
Note: This extension requires the companion NPM package: npm install -g ai-live-log-bridge Github: https://github.com/Ami3466/ai-live-log-bridge
Instant Data Scraper extracts data from web pages and exports it as Excel or CSV files
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+ 对比数据月份:2026-09 · 用户数与评分来自 Chrome 应用商店公开数据,按月聚合更新。口径说明见数据方法。