How to investigate checkout outages with Unknown
In a reported demo, AURA investigated checkout 502s, traced them to a downstream memory leak, documented a fix through a human-gated GitHub call, and checked recovery.
news.ycombinator.comPrompt to try
Editorial adaptation, not the source author’s exact prompt. Replace bracketed inputs and review tool permissions first.
Investigate [checkout incident] using [telemetry systems] and [repository]. Trace the evidence to a root cause and relevant code change. Request human approval before writing to GitHub, document supporting code lines and a proposed fix, then check [error and transaction signals] after deployment.
Reach people exploring AI agents
See placements →What happened
The demo reports identification of the memory leak and defective PR, documentation of a recommended fix, and validation that errors were clearing and transactions no longer failed.
Reported by jvogt on Hacker NewsHow the agent did it
- Investigate checkout 502s after a Grafana alert via PagerDuty.
- Trace the root cause to a downstream memory leak and merged PR.
- Use a human-gated GitHub call to document code lines and recommend a fix.
Where a person stepped in
The GitHub tool call was human-gated; the source does not identify who deployed the pull request.
A person approved each step before the agent continued.
The AURA team describes a demonstration in which checkout failures were investigated across several systems. Grafana detected 502 responses from the checkout service and triggered an incident through PagerDuty. AURA, using DeepSeek-V4-Flash, then used its workers and tools to investigate the evidence.
The agent identified a memory leak in a downstream service and attributed the incident to a defect in a recently merged pull request. The demonstration reached a human-gated GitHub tool call: AURA documented the exact code lines causing the problem and recommended a fix. After the pull request was deployed, it checked that errors were clearing and transactions were no longer failing. The source does not identify who deployed the change.
AURA’s coordinator drafts, executes, and supervises investigation flows through workers scoped to different task domains. Permissions are enforced outside the agent’s context, and large tool outputs are persisted to disk for selective reading. Throughout the demonstration, AURA recorded an audit trail of OpenTelemetry events in Phoenix.
This is a reported demo outcome, separate from the team’s broader claims about root-cause accuracy.
Who it's for: Operations teams that need evidence-based incident investigations with human approval for sensitive actions.
Prompt
Suggested prompt (written by Agents In Use, not the author's)
Source: Hacker News · jvogt
Frequently asked questions
What caused the checkout outage in the demo?
AURA identified a downstream service memory leak and attributed it to a defect in a recently merged pull request.
Where was human approval involved?
The demo included a human-gated GitHub tool call to document the problematic code lines and recommend a fix. The post says sensitive actions require human approval.
More details
Remaining steps
- Validate clearing errors and successful transactions after deployment.
About this account
AURA coordinated domain workers to investigate multiple systems and validate recovery, with permissions enforced externally.
Platform: Hacker News. Attribution: https://news.ycombinator.com/item?id=49538195. Prompt: Suggested (written by Agents In Use, not the author's). Sourced by the Agents In Use pipeline.
Credit: jvogt on Hacker News
Source published 2 Sept 2026
Source checked 14 Oct 2026
Tools and topics
AURA · DeepSeek-V4-Flash · Grafana · PagerDuty · GitHub · Phoenix
Incident response · Root cause · Human approval
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.