I Spent a Day With Kiro Crew. Here’s What It Actually Does.

Description and use

Kiro Crew AI agent quickly investigates latency spikes, sets up automated health checks, and stores knowledge, reducing response time and preventing repeat incidents.

Problem

On-call engineers spend 30‑60 minutes investigating latency spikes, leading to delayed fixes and repeated incidents.

Outcome

Latency investigation time dropped from 30‑60 min to ~60 s; automated health checks run daily; knowledge is stored and reused, cutting repeat incidents and saving engineer hours.

Workflow

• 1. Trigger alert (PagerDuty webhook or manual input).
• 2. Agent runs diagnostic steps: checks cron jobs, recent git commits, system resources.
• 3. Agent correlates data and outputs incident summary with root‑cause hypothesis.
• 4. Agent creates automated cron jobs for nightly health checks and weekly reports.
• 5. Agent persists key knowledge items (DB pool check, SLA, escalation path, region info).

Evidence

The agent ran seven diagnostic steps in parallel. 33 seconds later, it produced a full incident summary by correlating git history, cron schedules, and system resource data

Source

A single investigation uses roughly 3,000-5,000 input tokens and 1,500-2,500 output tokens. At Claude Sonnet pricing, that’s $0.02-0.04 per incident.

Source