How We Learned to Trust an AI Agent to Triage Production Incidents
At 2:33 AM PDT on a Sunday, an availability alarm fired for a frontier model. Production responses were stalling mid-stream, and monitoring opened a ticket automatically.
5 stories
At 2:33 AM PDT on a Sunday, an availability alarm fired for a frontier model. Production responses were stalling mid-stream, and monitoring opened a ticket automatically.
You built something good. A skill that encodes how your team actually deploys, plus an MCP server that talks to your internal service. It works. So you package it for the client your team uses, and then you package it again for the client the team next door uses, and again for the one your open…
It’s late on a beautiful Friday afternoon, and you’re getting ready to sign off and enjoy the weather. Just as you’re wrapping up, a teammate pings about an urgent latency spike and needs your help.
Early on in building Kiro, we started talking about what agentic development should feel like across a developer’s day. The picture we kept coming back to was one where sessions move between your laptop, a cloud sandbox, and back again without friction.
The rapid adoption of AI-powered development tools like Kiro is transforming how we build software, enabling unprecedented speed and innovation. However, this advancement also introduces new information security challenges.
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