AWS Quick launches six-agent product development framework
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AWS releases the AI-PDLC framework, configuring six agents in AWS Quick, covering the four upstream stages of product development: Discover, Decide, Design, and Prototype, with a human approval gate at each stage. According to AWS, this process is used to move scattered customer signals forward to a validated prototype. Prerequisites for use are: an AWS Quick workspace with the desktop client installed, permission to create custom agents in AWS Quick, and enterprise connectors (such as Slack, Jira, SharePoint, etc.) configured. AWS states that resources created in this exercise incur no cost when idle, so if you plan to run the pipeline again, you can keep the entire AI-PDLC configuration.
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- AWS Machine Learning BlogAccelerating product development with AI-driven lifecycle management (AI-PDLC) in AWS Quick
This AWS blog post describes AI-PDLC, a framework of six AWS Quick agents (an Orchestrator plus Discovery, Prioritize, Working Backwards, Spec Generator, and Designer) that guide product teams through the Discover, Decide, Design, and Prototype phases, with human approval required at every gate. The agents pull context from enterprise connectors such as Slack, Jira, Salesforce, SharePoint, ServiceNow, and Outlook, store artifacts in shared Quick Spaces, and produce a prototype_spec.md that can be handed to coding agents like Kiro or Claude Code via the Agent Client Protocol (ACP). The post includes step-by-step setup instructions, Deep Discovery and Fast Track pacing modes, and three scenarios: new product development, feature additions, and bug fixes.
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