Building an AI Agent to Help SREs Diagnose Incidents — Feedback Wanted

Over the past few months, we’ve been working on something new: an AI Agent designed to help SRE and DevOps teams diagnose incidents more efficiently.

Why we’re building this

When an incident hits, engineers often need to jump between dashboards, logs, traces, and monitoring tools to piece together what’s going wrong. It’s stressful, time-consuming, and sometimes the real root cause only becomes clear after hours of digging.

We wondered: what if you could just ask an AI Agent what’s going on — and it could walk you through the causal chain?

What it does today

• Slack integration — you can bring the Agent into an incident channel and ask it questions in real time.
• Plain English chat — no need to learn another query language or dashboard.
• Correlates signals — metrics, logs, traces, plus runtime signals we capture via eBPF.
• Incident analysis focus — when something breaks, the Agent tries to explain the sequence of events leading to the problem.

Sandbox to try

To make it easy to try, we built a sandbox — no signup required. You can:

1. Deploy a test app
2. Inject failures (e.g. latency, errors, resource exhaustion)
3. Chat with the AI Agent as it analyzes the signals and explains the incident

What we’re exploring

This is still early work. We’re not announcing a polished product — just sharing what we’ve built so far, and learning from real-world SRE/DevOps practitioners. We’re exploring a few directions and would love to hear your thoughts:

1. Slack-native queries — being able to ask a bot directly about service health (metrics, logs, etc.) without opening dashboards.
2. Frequent but “small” issues — things like Pod Pending, CrashLoopBackOff, OOMKilled, Node NotReady, disk running full, or network hiccups. These aren’t major incidents, but they happen often and still take time to deal with.
3. Automated reporting assistance — helping engineers draft daily/weekly system reports, incident timelines, or even postmortem summaries by automatically retrieving and organizing data.

We’d love your feedback

If you had an AI Agent like this:

• What would you use it for most?
• Would it fit into your workflow, or is it more of a “nice-to-have”?
• Are there cases where you think AI should not get involved in incident analysis?

We’d love to hear your thoughts. Feel free to comment, reply, or reach out directly — your feedback will help shape where this goes. As a thank-you, we’re offering lifetime free access for early adopters who join and give us feedback along the way.

Learn more about what we’re building at syn-cause.com.