AI Heroes

The way we build software has changed. Today, the most successful developers aren’t just writing code, they are orchestrating AI tools to build better and faster. This hands-on session is a deep dive into this modern “Builder Stack”, where you will learn how to build with with Google tools like Stitch, Firebase, and Gemini.Antigravity, Stitch, Firebase and Google Cloud.

Come to this session if you want to spend less time configuring and more time creating.

We’ll guide you through a complete development lifecycle, from prototyping an idea, to generating a beautiful UI, building AI features, and integrating a secure, scalable backend.

ViewModels are at the heart of modern Android and KMP apps, and they come with hidden performance traps most teams discover too late. Lifecycle mismanagement, scope leaks, bad memory patterns, dependency resolution overhead: these issues are hard to trace in production, and AI-assisted development makes them worse. More code ships faster, abstractions multiply, and ViewModel problems become invisible until users are already impacted.

In this hands-on workshop, we’ll debug real ViewModel performance scenarios together, using Koin and Kotzilla to detect issues at the component level without manual instrumentation. You’ll see how DI-based observability gives AI agents the architectural context they need to go from code generator to diagnostic partner.

Agenda:
Intro (10 min) — The ViewModel performance trap: what AI-assisted development changes and why
Lab 1 (20 min) — Spot common issues in a sample app: scope leaks, lifecycle mismanagement, resolution overhead
Lab 2 (25 min) — Instrument with Koin + Kotzilla: component-level detection, no manual logging
Lab 3 (25 min) — Bring AI into the loop: architectural context as a diagnostic lever
Wrap-up (10 min) — Patterns to take home, Q&A

BIO