TraceRoot.AI

Traceroot is an AI-native, open-source observability tool that connects logs, traces, metrics, code, and team discussions. It doesn’t just summarize issues — it helps fix them by creating GitHub issues and PRs in a developer-friendly workflow. TraceRoot.AI is an AI-enhanced production debugging platform that visualizes logs, traces, and function calls in an interactive tree structure with contextual insights. It utilizes AI agents that automatically fix production bugs by analyzing structured logs and traces.

How to Use

TraceRoot transforms your debugging workflow into an automated, organized, and efficient process. First, install the TraceRoot SDK to capture traces and logs from your codebase to their cloud service. Second, connect your development tools for instant insights across your entire stack. Third, intelligent AI agents analyze your traces and logs to quickly identify root causes, create GitHub issues, find relevant conversations, and fix bugs by creating PRs. Finally, explore comprehensive visualizations and insights on the TraceRoot Platform to fully understand and resolve issues.

Key Features

• AI-native, open-source observability
• Automated bug fixing by creating GitHub issues and PRs
• Interactive tree visualization of logs, traces, and function calls
• AI agents for root cause analysis and multi-agent collaboration
• Connects logs, traces, metrics, code, and team discussions

Use Cases

• Automated production debugging and issue resolution
• Root cause analysis of code and system issues
• Streamlining developer workflow for bug fixing
• Visualizing complex system interactions and data flows
• Integrating observability data with development and collaboration tools