TraceRoot.AI
TraceRoot.AI is an AI-enhanced production debugging platform that helps engineers fix bugs faster by using AI agents to analyze structured logs, traces, and function calls while integrating with development tools.
https://traceroot.ai/?ref=producthunt
Product Information
Updated:Aug 26, 2025
What is TraceRoot.AI
TraceRoot.AI is an open-source debugging platform founded in 2025 and based in San Francisco. It serves as an agentic system for debugging production issues by combining structured traces, logs, source code contexts, and discussions from various development tools like GitHub PRs, issues, and Slack channels. The platform is designed to help engineering teams quickly investigate and resolve issues in complex systems by leveraging AI-powered insights and automated analysis.
Key Features of TraceRoot.AI
TraceRoot.AI is an AI-enhanced debugging platform that helps engineers quickly identify and fix production issues by combining structured traces, logs, source code contexts, and discussions from various sources like GitHub PRs, issues, and Slack channels. It leverages AI agents to automatically analyze debugging data, provide intelligent insights, and streamline the debugging workflow through organized visualization and automation.
AI-Powered Root Cause Analysis: Uses intelligent AI agents to automatically analyze traces and logs to identify the root causes of production issues, creating tickets and PRs as needed
Comprehensive Integration: Seamlessly connects with development tools including GitHub, Slack, and Notion to gather contextual information across the entire tech stack
Structured Visualization: Provides interactive tree structure visualization of logs, traces, and function calls with contextual insights for better understanding of issues
Real-Time Monitoring: Enables real-time tracing and logging capabilities with the TraceRoot SDK built on OpenTelemetry
Use Cases of TraceRoot.AI
Production Debugging: Help engineering teams quickly identify and resolve production issues by automatically analyzing logs and traces
Multi-Agent System Development: Support development and debugging of complex multi-agent systems with specialized tracing and monitoring capabilities
DevOps Optimization: Streamline debugging workflows and reduce time spent on investigating production issues through automated analysis and organized visualization
Pros
Offers both cloud and self-hosted versions
Integrates with popular development tools
Provides AI-powered automated analysis
Cons
Self-hosted version may have limited features compared to cloud version
Pricing might be expensive for smaller teams
Requires setup and integration effort
How to Use TraceRoot.AI
Install TraceRoot SDK: Install the SDK via pip for Python (pip install traceroot==0.0.4a5) or npm for JavaScript/TypeScript applications
Configure Environment: Create a .traceroot-config.yaml file in your project root directory with settings like service_name, github_owner, github_repo_name, and github_commit_hash
Set Up Jaeger Container: Run Jaeger docker container to store traces and logs locally: docker run -d --name jaeger with specified ports (16686, 14268, 14250, 4317, 4318)
Instrument Your Code: Add TraceRoot decorators (@traceroot.trace()) to functions you want to monitor and use the logger (traceroot.get_logger()) to capture logs
Connect Development Tools: Integrate with your development tools like GitHub, Slack, and Notion to get comprehensive insights across your stack
Access TraceRoot UI: Access the UI at http://localhost:3000 and API at http://localhost:8000 to view traces and logs
Use AI Agents: Leverage TraceRoot's AI agents to automatically analyze traces and logs for identifying root causes of issues
Monitor and Debug: Use the platform's visualization tools to explore comprehensive insights and resolve issues through the interactive tree structure
TraceRoot.AI FAQs
TraceRoot.AI is an AI-enhanced production debugging platform that helps engineers fix bugs faster by visualizing logs, traces, and function calls in an interactive tree structure. It uses AI agents to analyze structured context including traces, logs, metrics, source code, GitHub PRs, issues, and Slack threads.
TraceRoot.AI Video
Popular Articles
DeepSeek v3.1: AIPURE’s Comprehensive Review with Benchmarks & Comparison vs GPT-5 vs Claude 4.1 in 2025
Aug 26, 2025
Emochi Review 2025: AI Chat with Anime-Inspired Characters
Aug 21, 2025
Leonardo AI Free Working Promo Codes in August 2025 and How to redeem
Aug 21, 2025
Lmarena Nano Banana Review 2025: Is This AI Image Generator the New King? (Real Tests & User Feedback)
Aug 20, 2025
Latest AI Tools Similar to TraceRoot.AI
Aguru AI
Aguru AI is an on-premises software solution that provides comprehensive monitoring, security, and optimization tools for LLM-based applications with features like behavior tracking, anomaly detection, and performance optimization.
Jorpex
Jorpex is a comprehensive tender notification platform that aggregates and delivers instant tender alerts from across European countries directly to Slack, helping businesses never miss opportunities.
Prompt Inspector
Prompt Inspector is an AI-powered analysis tool that helps developers and businesses optimize their LLM interactions through comprehensive prompt analysis, user behavior insights, and ethical content filtering.
Token Counter
Token Counter is an intuitive online tool that helps users accurately calculate token counts and estimate costs for various AI language models including GPT-4, GPT-3.5-turbo, Claude, and other LLMs.
Popular AI Tools Like TraceRoot.AI
VoltOps
VoltOps is a framework-agnostic LLM observability platform that provides real-time visual monitoring, debugging, and optimization tools for AI agents across any technology stack.
Editor Usage for Cursor
Editor Usage for Cursor is a macOS menubar app that helps users track and monitor their Cursor editor usage across premium, normal, and special requests with customizable alerts and warnings.
Bright Data
Bright Data is the world's #1 web data platform providing award-winning proxy networks, powerful web scrapers, and ready-to-use datasets for businesses to ethically collect and analyze public web data at scale.
Jam
FreemiumMonitor & Log Management
Jam is a browser extension that enables software teams to create comprehensive bug reports with one click, including screen recordings, developer logs, and technical diagnostics.