AWS publishes six-agent AI-PDLC suite guide for Quick
Start here
AWS has published a tutorial and GitHub repository for configuring AI-PDLC, a six-agent suite in AWS Quick. An Orchestrator leads five phase agents—Discovery, Prioritize, Working Backwards, Spec Generator and Designer—that turn scattered signals from Slack, Jira, Salesforce and SharePoint into a traceable prototype_spec.md. Every phase requires human approval, and the resulting spec can be handed to coding agents such as Kiro or Claude Code through the open Agent Client Protocol. Running it requires an AWS Quick workspace with the Desktop client installed and permission to create custom agents, with Enterprise connectors set up for the team's tools. AWS says the resources the walkthrough creates incur no cost at rest, so the suite can be left in place for repeat runs.
Generated from reports · updated 22 h ago
Report timeline
Follow the reports to see the event from different sides.
- AWS Machine Learning BlogAWS Quick AI-PDLC: Six Agents for AI-Driven Product Development
AWS Quick introduces AI-PDLC, a framework of six specialized agents—led by an Orchestrator covering Discovery, Prioritize, Working Backwards, Spec Generator, and Designer—that turns scattered enterprise signals from Slack, Jira, Salesforce and SharePoint into a traceable prototype_spec.md. Every phase requires human approval, and the spec can be handed to coding agents like Kiro or Claude Code via the open Agent Client Protocol (ACP).
Heat for this event
Not enough continuous observations yet to draw a trend.