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Created a comprehensive trace analysis tool that demonstrates the value of --trace for debugging and understanding applications. Features: - Timeline visualization with key events - Operations breakdown by namespace - File system analysis (files accessed, bytes transferred) - HTTP analysis (endpoints, latency, response sizes) - Performance insights (slowest operations) - Automated recommendations (repeated reads, excessive ops) This tool shows how AI agents can use trace data to: - Understand application behavior without reading code - Identify performance bottlenecks - Detect inefficient patterns (repeated reads, API calls in loops) - Get file/network I/O statistics Example output includes formatted reports with emojis, charts, and actionable insights. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>