Loading…
Data Tech 2026 has ended

Friday May 15, 2026 10:15am - 10:45am CDT
AI coding tools are transforming how data and analytics teams build software, but speed without structure has a hidden cost. Unstructured AI-assisted development produces pipelines that fail unexpectedly, agentic systems that make decisions no one can trace, and codebases where intent is lost the moment the chat window closes. This session makes the case that spec-first engineering, defining system intent, constraints, and behavior before the AI writes a line, is the discipline that separates reliable AI-assisted development from fragile, untraceable output.

Attendees will see a live demonstration using GitHub's open-source SpecKit framework applied to a healthcare medication alert system, showing how structured workflows transform AI into a disciplined engineering partner. Key takeaways include how to encode requirements as AI context, why your spec is your audit trail, and how to know when structure is non-negotiable. Whether you are building data pipelines, ML systems, or agentic AI workflows, you will leave with a concrete and repeatable approach you can apply immediately.
Speakers
avatar for Justin Grammens, MSS

Justin Grammens, MSS

President & Board Chair, Applied AI
Justin Grammens is the Founder and CEO of Lab651, Managing Partner of Recursive Awesome, and President and Board Chair of Applied AI, a Minnesota-based nonprofit focused on building the next generation of AI leaders.
Friday May 15, 2026 10:15am - 10:45am CDT
(h) Proverb / Edison Best Buy HQ, 7700 Knox Ave S, Richfield, MN 55423

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Share Modal

Share this link via

Or copy link