AI Agents + Full Stack Demo Night @Convex

​Join us for our May AI Agents + Full-Stack Demo Night at Convex.

​​This is an in-person event.

Registration is required to get in.

​​Topic: Creating, building, and using AI Agents and full-stack app development.

​​What we'll do:

Hear talks on the latest advancements in AI Agents, AI Code gen, vibe coding, and full-stack development.

After the tech talks, enjoy food, refreshments, and plenty of time to chat and network about AI and full-stack development.

​​Hear Tech Talks and Demos on:

1 ) Building AI Agents and Workflows for full-stack applications - Ian Macartney, Product Engineer at Convex

2 ) Make Your Browser Self Driving with an AI Web Agent -Arjun Chintapalli, Founder CEO, rtrvr.ai

3 ) Building Agents in a High-level Prompting Language- Will Chen, CEO @ Idyllic Labs

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​​Sign up to demo or speak!

​If you want to speak or demo at a future event/meetup, please submit a lightning talk for a future event here.

What We’re Looking For:

Showcase Your Builds – Present a project, platform, or tool you’ve built. Walk us through the development process, challenges, and solutions, including code insights and behind-the-scenes details.

​​Show your work. Ship your learnings.:

Whether you hacked together an AI workflow, shipped a vibe-coded app, or solved a full-stack problem, this meetup is for sharing how you actually did it and what you figured out along the way.

​​Educate and Inspire – Keep it hands-on and developer-focused—no sales pitches.

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​​Can’t Make It?

​​Stay connected with the Convex community(https://www.convex.dev/community)on Discord to keep up with upcoming events and discussions: Join Here.

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​​​​​About Convex

Convex is the open-source reactive database for app developers. Check out our Docs to get started.

Generate and launch realtime full‑stack app with Convex Chef.

​Startups apply to join our Convex for Startups program.

​​​​​​​​​Join our Discord Community, and connect with us on Bluesky, Twitter(X) or LinkedIn for updates.

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​Wayne and the Convex Team.​