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Rescale builds an AI test triage agent using AWS and the Strands SDK

Rescale deployed a production AI triage agent for test failures in weeks using the AI-Driven Development Lifecycle framework and AWS.

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Summary

Rescale built an AI triage agent to automate the classification and routing of nightly end-to-end test failures. Using the AI-Driven Development Lifecycle framework on AWS, the team moved from problem definition to a staging deployment in five days and into production within weeks. The agent runs on Amazon EKS, uses Amazon Bedrock with Claude Opus 4.8 for root cause classification, and is built using the Strands SDK.

What changed

  • Automates test failure classification and routing using an AI agent running on Amazon EKS.
  • Invokes Claude Opus 4.8 on Amazon Bedrock to categorize failures into infrastructure issues, code bugs, flaky tests, or environment problems.
  • Queries pod logs through Model Context Protocol and retrieves historical failure patterns from a knowledge base.
  • Generates a structured remediation report with specific file references and recommended fixes for engineer review.

Availability

Available now

“The triage agent has been running in production since the workshop.”

Founder takeaway

Small teams can use structured human-AI collaboration frameworks like AI-DLC to scope, design, and ship production AI agents in days rather than months.

Source

AWSHow Rescale built an AI triage agent with Strands Agents and AI-DLC | Amazon Web Services

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