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Rescale builds automated test-triage agent using Strands Agents and AI-DLC

Rescale used the open-source AI-Driven Development Lifecycle (AI-DLC) and Strands Agents to build an agent that classifies and routes nightly end-to-end test failures. The agent runs in Argo Workflows on Amazon EKS, invokes Claude Opus 4.8 via Amazon Bedrock, queries logs through the Model Context Protocol (MCP), and produced a staged deployment in five days and production deployment within weeks.

KEY POINTS

  1. Rescale used the open-source AI-Driven Development Lifecycle (AI-DLC) and Strands Agents to build an agent that classifies and routes nightly end-to-end test failures.
  2. The agent runs in Argo Workflows on Amazon EKS, invokes Claude Opus 4.8 via Amazon Bedrock, queries logs through the Model Context Protocol (MCP), and produced a staged deployment in five days and production deployment within weeks.
  3. Demonstrates a practical, fast path to integrate large models and agent frameworks into CI/CD to reduce on-call work and speed releases.

WHY IT MATTERS

Demonstrates a practical, fast path to integrate large models and agent frameworks into CI/CD to reduce on-call work and speed releases.

SOURCES & TIMELINE

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