AWS explains how to set up a six-agent AI-PDLC product development workflow in AWS Quick
Overview
AWS Machine Learning Blog says it explains how to configure a six-agent AI-PDLC suite in AWS Quick to move from distributed customer signals to a validated prototype.
The workflow runs through a single Orchestrator conversation and advances only after human approval at each phase.
The post covers the upstream Discover, Decide, Design and Prototype phases, which produce a prototype_spec.md file. Coding agents such as Kiro or Claude Code then build the prototype from that file. The post says the resources created by the walkthrough incur no cost at rest, so the suite can stay in place for later runs.
Written by AI from the articles below · updated Nov 11, 11:22 AM ET
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- AWS Machine Learning BlogOfficialAmazon explains how to configure an AI-PDLC agent workflow in AWS Quick
AIAmazon's AWS Machine Learning Blog explains how to configure a six-agent AI-PDLC suite in AWS Quick to move from distributed customer signals to a validated prototype. The workflow runs through a single Orchestrator conversation and advances only after human approval at each phase. The post covers the upstream Discover, Decide, Design and Prototype phases, which produce a prototype_spec.md for coding agents such as Kiro or Claude Code to build from.
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