How an Agent-Native Language Can Make Agents More Reliable in Production

​AI agents are moving from demos into real product workflows. But once agents are used in production, the challenge is no longer just “is it reliable?”

​If you are thinking about how to make AI agents more reliable in production, this will be a practical discussion on where agent workflow infrastructure may be heading next.

​We’ll discuss:

• ​Why current agent workflows are difficult to scale

• ​How to optimize your agent workflow to make them prod ready

• ​MDA, proposed intermediate language for making agent workflows executable, observable, and optimizable

​We’ll share practical ideas and a demo of MEGA Code. The goal is to have a real builder-focused discussion about what it takes to make AI agents more measurable, reliable, and production-ready.

​What to expect:

• ​5:30 - 6:00: Arrival, Pizza, Drinks, Networking

• ​6:00 - 6:30: Talk – MDA TBD

• ​6:30 - 7:00: Demo – Evaluating and Optimizing AI Agent Behavior with MEGA

• ​7:00 - 7:15: Q&A, Open discussion

• ​7:15 - 8:00: Networking

​Pizza and beverages will be provided.

Save your spot, spaces are limited.

​Venue graciously provided by Plug and Play.

About the Organizer:
MEGA Code, a Plug and Play portco, helps teams evaluate agent behavior, identify failure patterns, optimize prompts and workflows, and use evidence from each run to improve future performance.