Rescale builds AI triage agent using Claude Opus 4.8 on Amazon Bedrock
Rescale, a digital engineering platform, created an AI‑driven triage agent to automatically classify and route nightly end‑to‑end test failures. The five‑day, in‑person workshop used the AI‑Driven Development Lifecycle (AI‑DLC) methodology, with AWS architects guiding the team. The agent runs as a pod in Rescale’s Argo Workflows on Amazon EKS, invokes Claude Opus 4.8 via Amazon Bedrock to label…
Key points
- Rescale’s triage agent classifies nightly test failures using Claude Opus 4.8 on Amazon Bedrock.
- Classification agreement rose from 44% at launch to 68% after iterations.
- Production use cut time blocking deployments by 20% and runs in seconds within Argo workflows.
After a rapid build‑to‑staging phase, the agent went live in production within weeks. Classification agreement with human triage rose from 44 % at launch to 68 % after iterative prompt engineering, and the automated first‑pass triage cut the time blocking production deployments by about 20 %. Engineers now spend less of the on‑call rotation on repetitive classification, allowing them to focus on architecture and product judgment.
Rescale plans to expand the AI‑DLC approach across its organization, establishing a Center of Excellence to help other teams adopt the methodology for building AI‑first tools such as simulation catalog management and container vulnerability tracking.
The story so far
2 episodes →- Rescale builds AI triage agent using Claude Opus 4.8 on Amazon Bedrockthis story
How Rescale built an AI triage agent with Strands Agents and AI-DLC
AWS Machine Learning Blog · 22 October 2026
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