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.
We started TraceRoot after facing the same problem again and again - fixing production bugs is slow, painful, and scattered across too many tools. Engineers jump between logs, traces, GitHub, Slack, and dashboards just to piece together what happened.
TraceRoot is an open-source debugging platform with AI agents that actually do the work: they pull together logs, traces, code, and related context into one place, explain the problem, and link every insight back to the original data so you can trust it. The agent can even draft fixes or open pull requests for common issues - you stay in control, it just handles the grunt work.
Unlike other tools:
- We organize all your telemetry data in a centralized platform optimized for debugging experience.
- Connect to all your engineering contexts and use context engineering optimization to improve the agent performance and directly create github PR and issues from our tool.
- Keeps track of all your past bug fixes for future reference.
Would love your feedback. You can register at traceroot.ai and integrate TraceRoot with your system by using our SDK. Checkout our Github for self-hosting option.
This looks awesome! Centralizing logs, traces, and code while having AI draft fixes could save dev teams so much time. Curious, how well do the agents handle complex multi-service bugs in large codebases?
Can't imagine how this would significantly change our DevOps! Really brilliant idea and great product. Is it possible to integrate it with Cursor or Vibe coding tools so that I can create bug free solutions with just prompts?
“Really impressed with TraceRoot.AI! Love how it centralizes logs, traces, and code context while even suggesting PRs. Would be great to see integrations with Slack/Jira and support for GitLab in the future. Excited to see how it scales in high-volume environments—keep up the great work!”
Congrats on the launch 👏. One suggestion: instead of asking users to manually provide an access token in the Integrations & Sources section for GitHub, it would be better to retrieve the token automatically via the GitHub OAuth flow. This would both improve security and provide a smoother developer experience.
🚀 Incredible launch! TraceRoot.AI looks like a game-changer for dev teams. Love the open-source approach and AI-native observability—fixing bugs faster just got smarter. Wishing the team all the success! 🙌🔥
Traceroot goes beyond observability, it connects logs, traces, metrics, code, and even team chatter to not just surface issues, but fix them. Open-source, AI-native, and wired to create GitHub issues and PRs right from the workflow.
Traceroot looks amazing! It’s not just about observability — the way it ties logs, traces, metrics, code, and even team discussions into a developer-friendly workflow is next-level. The GitHub issues and PR integration makes it super practical for real-world teams.
AI-Driven Debugging 👾
TraceRoot is a must-have for engineers! It consolidates all the relevant data, explains the issues, and even drafts fixes. It’s like having a personal AI assistant for your codebase!
Efficiency Reimagined！TraceRoot’s AI-powered debugging platform is a game-changer! No more jumping between logs, GitHub, and Slack. It pulls everything together and even drafts fixes. Debugging just became way easier.
Great idea - pulling everything together to help solve the issue. We're finding that creating "deflection" tools seems to be the rage, but not everything can be deflected and sometimes you've gotta have the team jump in and around to solve it. Looks like a great tool! Congrats on the launch!
Traceroot is an awesome product! We use it and the founders are incredible. Congrats on the launch :)
Hey Product Hunt 👋
I’m Xinwei, co-founder of @TraceRoot.AI
We started TraceRoot after facing the same problem again and again - fixing production bugs is slow, painful, and scattered across too many tools. Engineers jump between logs, traces, GitHub, Slack, and dashboards just to piece together what happened.
TraceRoot is an open-source debugging platform with AI agents that actually do the work: they pull together logs, traces, code, and related context into one place, explain the problem, and link every insight back to the original data so you can trust it. The agent can even draft fixes or open pull requests for common issues - you stay in control, it just handles the grunt work.
Unlike other tools:
- We organize all your telemetry data in a centralized platform optimized for debugging experience.
- Connect to all your engineering contexts and use context engineering optimization to improve the agent performance and directly create github PR and issues from our tool.
- Keeps track of all your past bug fixes for future reference.
Would love your feedback. You can register at traceroot.ai and integrate TraceRoot with your system by using our SDK. Checkout our Github for self-hosting option.
Thanks for taking a look.
- Xinwei