In 2026, the best developers are building AI-native applications where intelligence is baked into the entire stack. As a Flutter developer, you can now stay entirely in Dart for both mobile and backend, combining Dart Frog for solid API foundations with Genkit Dart for powerful AI flows, tools, and agents.

In this session, I’ll share a practical case study from real projects and my YouTube course: how to build a complete intelligent full-stack application (smart task) using:

1. Dart Frog for clean, scalable backend architecture (routing, middleware, PostgreSQL, auth, observability)
2. Genkit Dart to add AI-native capabilities: structured outputs, tool calling, flows, and lightweight agents powered by Gemini and other models
3. Seamless integration between Flutter frontend and the intelligent Dart backend

You’ll learn architectural decisions, lessons from production use (what worked, what needed iteration), deployment patterns suitable for real teams, and how this unified Dart approach reduces complexity while enabling sophisticated AI features.

Whether you're a Flutter engineer expanding to full-stack or a backend developer exploring modern Dart, this talk delivers concrete patterns you can apply immediately.