Important Register on the event website (Due to room capacity and building security, you must pre-register at the link for admission)
AI is everywhere in development right now. Coding assistants. Autonomous agents. Background workflows. AI-generated PRs. But most teams are stuck in the same place:
Experiments work, production doesn’t.
AI writes code faster, but workflows break.
Agents generate output, but teams can’t trust or scale it.
And governance gets added too late, slowing everything down.
This meetup is for developers and platform teams who want to understand what it actually takes to move from AI experimentation to production-ready workflows. We’ll focus on how teams are redesigning their development workflows to work with AI, not just adding tools on top. That includes how to structure workflows, manage agents, and introduce the right level of control without killing developer velocity. No hype. No tool comparisons. Just a clear look at why most AI workflows fail and what actually works at scale.
You’ll walk away with
\- A clear understanding of why most AI workflows break when moving to production
\- Insight into how AI changes the software development lifecycle\, not just coding
\- A practical model for structuring AI workflows across planning\, building\, and operations
\- Examples of how teams are introducing control and consistency without slowing developers down
\- A mental model for scaling AI usage across teams\, not just individual developers
Tech Talk: Self-Hosting Coding Agents: In the Homelab or the Enterprise
Speaker: Dave Ahr, Coder
Tech Talk: Agents Can't Read the Room: Platform Engineering for AI-Native Development
Speaker: Mallory Haigh, PEC
Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics
Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is