From AI Experiments to Production: How Teams Actually Scale AI Workflows

Description

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https://www.aicamp.ai/event/eventdetails/W2026052715

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

Who this is for:

• Beginner → intermediate software developers
• Platform engineers and DevOps folks supporting dev teams
• Anyone using (or wanting to use) AI tools beyond simple autocomplete

Agenda:

• 5:30pm~6:00pm: Checkin, Food and Networking
• 6:00pm~6:15pm: Welcome/community update
• 6:15pm~8:00pm: Tech talks and Q&A
• 8:00pm~8:30pm: Open discussion & Mixer