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AWS Machine Learning Blog· Vishnu Elangovan·· 3 days agoAI score42

Accelerating product development with AI-driven lifecycle management (AI-PDLC) in AWS Quick

Accelerating product development with AI-driven lifecycle management (AI-PDLC) in AWS Quick

AI summary

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.

Source: AWS Machine Learning Blog · aws.amazon.com