How to Go From Vibe-Coded to Production-Ready Products (Founder’s Institute)

You built the thing. It works in a demo, it looks real, and then someone asks whether it can handle a thousand users and take payments. That gap is where AI built products stall. The tools are excellent at getting you to a working prototype and almost silent about architecture, security, and everything that decides whether a product survives contact with customers. Carlos Ignacio Sanabria, Partnership Manager at Designli, has run dozens of code and UX audits on exactly these builds. He will show you what to look for, so you can find the problems before your users do.

What You'll Learn:

• The three places vibe coded builds fail: architecture, security, and test coverage
• How to run a basic readiness check on your own build before you put it in front of customers
• Why context and guardrails around AI beat raw shipping speed, and what that looks like in practice
• How to move from build mode to hypothesis mode, testing assumptions instead of stacking features
• How to pick a North Star Metric that tells you whether the product is actually working