Darren Mills, CTO

Beyond Vibe Coding: How One AWS Partner Built an AI Engineering Platform on Kiro

Discover how Clean Slate is using Kiro to go beyond AI-assisted coding and build a scalable engineering platform for consulting delivery. Learn how AI, automation, and AWS integrations are being used to streamline assessments, architecture design, reporting, and client engagements across multiple projects and teams.

Artie Sluka

Aaron Thomas

Daniel Schnipke

No Big Bang Theory: A 2-Way Data Synchronization Solution

Modernizing applications doesn’t have to mean a risky, all-at-once migration. In this session, we’ll share a real-world approach to synchronizing data between legacy systems and modern cloud architectures, allowing organizations to modernize incrementally while keeping critical applications running. Learn how our “Databridge” solution helps reduce risk, accelerate transformation, and support large-scale modernization efforts.

Nick Stultz

On-Prem to FSx ONTAP: A Real-World Massive Data Migration Story

Migrating hundreds of terabytes of data is about more than moving files. In this session, we’ll share lessons learned from a large-scale migration to Amazon FSx for NetApp ONTAP, including building a new Active Directory environment, managing complex permissions, designing a multi-tenant architecture, and overcoming challenges caused by massive file counts and ungoverned data. Attendees will gain practical insights for planning and executing large-scale storage migrations in AWS.

David Poindexter

Dungeons & Dragons Meets AI: From Hallucinations to Spec-Driven Systems on AWS

Building AI systems is easy, building ones you can trust is much harder. Using a Dungeons & Dragons-inspired AI application as a case study, this session explores how retrieval-backed context, structured outputs, and validation techniques can reduce hallucinations and improve reliability. Learn practical approaches for creating AI solutions that are more accurate, maintainable, and ready for real-world use.