What are the two pacing modes in AI-PDLC?

Deep Discovery asks 8–12 questions per phase for thorough exploration, while Fast Track trims each phase to 3–5 essential questions and suggests defaults from context.

Does AI-PDLC cost anything to keep installed?

The resources the walkthrough creates incur no cost at rest, so the suite can stay in place if you plan to run the pipeline again.

How do I get started with AI-PDLC?

Clone the AI-PDLC GitHub repository, follow the setup guide to create five specialist agents and one Orchestrator, then select 'AI-PDLC Orchestrator' and say 'Run the full pipeline'.

Large Language ModelsAI Business & IndustryAmazon AI Blog3h agoNov 12, 2026, 04:00 JST

AWS Quick launches AI-PDLC six-agent suite for product teams

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3 Key Points

What happened
AWS Quick introduced AI-PDLC, a six-agent suite — led by an Orchestrator — that runs Discover, Decide, Design and Prototype phases, pulling context from Slack, Jira, Salesforce and SharePoint and producing a shared prototype_spec.md.
Why it matters
The suite scores pain points for severity and frequency, ranks use cases on transparent 0–10 criteria, and gates each phase on human signoff — so teams build against evidence rather than hunches, with every decision traced to its source.

WHO IT HITSProduct managers and UX teams at enterprises using AWS Quick are the primary users, as they can now run a structured discovery-to-prototype pipeline without leaving their existing tools. Engineering teams receive a build-ready spec with acceptance criteria instead of one-line tickets.

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Context & Analysis

The AI-PDLC framework arrives as coding agents make implementation fast, shifting the bottleneck upstream to discovering the right customer problem, deciding what to build, and producing a clear specification. AWS Quick positions itself as a connective layer for fragmented enterprise knowledge, grounding agents in data from Slack, Jira, Salesforce, SharePoint, ServiceNow, and Outlook. The suite's value rests on governance: a human approval gate at every stage and dual-level decision logging (each specialist records its own rationale while the Orchestrator keeps a shared log) aim to ensure no gate approval goes untracked. The framework also delegates development to coding agents via the Agent Client Protocol (ACP), an open JSON-RPC 2.0 standard with no vendor lock-in, so teams can use tools like Kiro or Claude Code against the generated spec. Whether this compresses the upstream cycle enough to deliver the claimed compounding advantage — building the right product faster with fewer costly pivots — may depend on how well teams adapt to the structured Q&A and approval discipline.

FAQ

What are the two pacing modes in AI-PDLC?: Deep Discovery asks 8–12 questions per phase for thorough exploration, while Fast Track trims each phase to 3–5 essential questions and suggests defaults from context.
Does AI-PDLC cost anything to keep installed?: The resources the walkthrough creates incur no cost at rest, so the suite can stay in place if you plan to run the pipeline again.
How do I get started with AI-PDLC?: Clone the AI-PDLC GitHub repository, follow the setup guide to create five specialist agents and one Orchestrator, then select 'AI-PDLC Orchestrator' and say 'Run the full pipeline'.

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