# How Rescale built an AI triage agent with Strands Agents and AI-DLC

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/how-rescale-built-an-ai-triage-agent-with-strands-agents-and-ai-dlc
> **Original Source**: [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/how-rescale-built-an-ai-triage-agent-with-strands-agents-and-ai-dlc/)
> **Author**: Isha Doshi (undefined)
> **Published Date**: Thursday, October 22, 2026
> **Category**: INDUSTRY
> **Tags**: AI, AWS ML Blog, industry

## Executive Summary
Rescale used the AI-Driven Development Lifecycle (AI-DLC) framework on AWS, with Strands Agents and Amazon Bedrock, to build an intelligent test-triage agent in weeks.



## Full Coverage
Every engineering team knows the ritual, and Rescale was no exception. A nightly test suite fails. An on-call engineer pulls the logs, classifies the root cause, and routes it to the right team, only to repeat the process the next morning. At scale, across distributed services and dozens of repositories, this ritual becomes a full-time job hiding inside an on-call rotation

Rescale is the digital engineering platform built for the AI era. R&D and engineering teams across aerospace, automotive, energy, life sciences, semiconductor, and manufacturing use the Rescale platform to accelerate innovation, bringing intelligent HPC, advanced modeling and simulation, agentic digital engineering, and AI physics together on a single platform

Beyond coding, Rescale uses AI across the engineering lifecycle, from planning and design through implementation, testing, review, and operations, while keeping engineers accountable for the result. AI can propose and execute, but people define scope, validate the work, and approve production changes. Engineers can then focus on architecture, product judgment, and the context required to operate complex distributed systems

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