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.
Centralizing all debug info and auto-drafting fixes? That’s realy next-level, fr—no more jumping between a million tabs just to squash one bug. Big win for dev sanity!
Report
Maker
@cruise_chen Yes, having as much as context is required to have a better agent performance on debugging, specifically in production
Report
Congrats! Many engineering teams find integrating TraceRoot with existing telemetry systems like OpenTelemetry and Jaeger challenging initially, especially if they are new to these observability tools. What is your advice or planned improvements to simplify the setup process and reduce friction for teams adopting TraceRoot?
Report
Maker
@vouchy Thanks in advance! Yes, we will simplify the platform setup process with better docker setup and keep releasing latest and stable version. We will also make our SDK easier to use and integrate with other software.
@vouchy Internally our SDK wraps around OpenTelemetry as well. and Jaeger is supported in our open source self-hosted version. So I would image the migration would be pretty smooth. Let us know what exactly makes the integration difficult and we will treat that as the first priority! :)
I'm not a developer myself, but I've worked with engineers, and debugging always looked painful. TraceRoot feels like a huge relief ! Just shared your product with my team, looks like a real productivity booster! @TraceRoot.AI
Report
Maker
@nicoleastor Thanks! Right, debugging (especially for the production bugs) is very painful. Feel free to reach out to us if you have any questions 😄
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!
@britt_joiner Thanks Brittany! Totally agree, some problems can't just be "deflected", you need the right context and teamwork. That's why with our cursor in cloud chat interface, multiple developers can collaborate in real time with AI agents that jump into traces, logs, and metrics to actually debug together instead of just routing issues around!
TraceRoot.AI
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
PopPop AI Vocal Remover
Great tool and I will share it with our developers, haha
@charlenechen_123 Thanks! That's our mission to make developers' life easier 😄
Agnes AI
Centralizing all debug info and auto-drafting fixes? That’s realy next-level, fr—no more jumping between a million tabs just to squash one bug. Big win for dev sanity!
@cruise_chen Yes, having as much as context is required to have a better agent performance on debugging, specifically in production
Congrats! Many engineering teams find integrating TraceRoot with existing telemetry systems like OpenTelemetry and Jaeger challenging initially, especially if they are new to these observability tools. What is your advice or planned improvements to simplify the setup process and reduce friction for teams adopting TraceRoot?
@vouchy Thanks in advance! Yes, we will simplify the platform setup process with better docker setup and keep releasing latest and stable version. We will also make our SDK easier to use and integrate with other software.
TraceRoot.AI
@vouchy Internally our SDK wraps around OpenTelemetry as well. and Jaeger is supported in our open source self-hosted version. So I would image the migration would be pretty smooth. Let us know what exactly makes the integration difficult and we will treat that as the first priority! :)
YouMind
I'm not a developer myself, but I've worked with engineers, and debugging always looked painful. TraceRoot feels like a huge relief ! Just shared your product with my team, looks like a real productivity booster! @TraceRoot.AI
@nicoleastor Thanks! Right, debugging (especially for the production bugs) is very painful. Feel free to reach out to us if you have any questions 😄
Loopin
Good stuff, congrats on the launch to the team!! 🚀
TraceRoot.AI
@parthpareek Appreciate it a lot! Always awesome seeing support from the ex-Kumo.ai crew 🙌
@parthpareek Thank you Parth!
Trello Tip Generator and Newsletter
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.AI
@britt_joiner Thanks Brittany! Totally agree, some problems can't just be "deflected", you need the right context and teamwork. That's why with our cursor in cloud chat interface, multiple developers can collaborate in real time with AI agents that jump into traces, logs, and metrics to actually debug together instead of just routing issues around!