Level 300
As cloud architects and consultants, we've all been there: conducting Well-Architected Framework Reviews (WAFR) that take weeks of manual effort—collecting data, interviewing stakeholders, cross-referencing AWS documentation, and producing reports that often arrive too late to drive meaningful change. The community has responded with great tools: WA-Gen-AI analyzes IaC templates against best practices in minutes, the Well-Architected IaC Analyzer brings that to production scale, and the WA GenAI Workshop teaches prompt engineering patterns for reviews.
But after leading multiple WAFR engagements for financial services clients at GFT, I noticed a gap these tools don't cover: what happens when what clients claim in the WA Tool doesn't match what's actually running in their accounts? And how do you scale that verification across 6 pillars, multiple clients, and regulatory frameworks like DORA—without rebuilding the wheel every time?
The answer came from combining specialized AI agents with Kiro CLI's native subagent orchestration, automated gap analysis that cross-references claims with live account data, and a reusable scaffold that any consultant can clone and configure in minutes.
