AWS has announced an AI‑driven product development lifecycle framework, AI‑PDLC, built into AWS Quick, aimed at streamlining the journey from customer feedback to a validated prototype.
The framework comprises six specialised agents—Discovery, Prioritize, Working Backwards, Spec Generator, Designer, and an Orchestrator—that guide teams through eight distinct phases: Discover, Decide, Design, Prototype, Engineer, Ship, Operate, and Learn.
Data Collection and Pain‑Point Scoring
Discovery begins by aggregating customer signals from Slack, Jira, Salesforce, ServiceNow, Microsoft SharePoint, and Outlook, then scoring pain points by severity and frequency to create a Pain Point Board.
Prioritize evaluates use cases using two transparent 0–10 scoring frameworks, one for agentic scenarios and another for traditional applications, ensuring clear prioritisation criteria.
The Working Backwards agent then generates a PR/FAQ for the top use case, detailing unit economics, failure modes, regulatory risk, and competitive landscape, mirroring Amazon’s proven approach.
Specification, Design, and Human Oversight
Spec Generator produces a build‑ready specification with acceptance criteria, user flow, constraints, and metadata traceable to source pain points, while Designer creates journey maps, wireframes, and clickable HTML prototypes within AWS Quick.
Human approval is mandatory at every stage—validating pain points, prioritisation, specification, and build gate—ensuring that AI outputs remain aligned with organisational standards.
All decisions are logged both within each specialist’s artifact and in a shared log maintained by the Orchestrator, providing full auditability across the AI‑PDLC pipeline.