Uploaded August 2026 | Updated September 2026, 1 day ago
79% of Flutter developers report using AI assistants—but “Flutter + AI” now describes three very different workflows: AI that writes Flutter code, AI features inside a Flutter app, and AI models running directly on the device.
In this video, I break down all three using official Flutter and Firebase documentation plus community examples. We look at the Dart and Flutter MCP server, Dreamflow, Firebase AI Logic, Flutter AI Toolkit, and flutter_gemma.
Which direction should I turn into a full tutorial first? Comment 1, 2, or 3:
1. AI-assisted Flutter development
2. Gemini inside a Flutter app
3. On-device AI with flutter_gemma
CHAPTERS
00:00 How Flutter developers use AI
00:31 AI that writes Flutter code
01:56 AI features inside Flutter apps
03:21 AI that runs on the device
04:17 The three approaches and what comes next
OFFICIAL SOURCES AND TOOLS
• Flutter’s 2026 AI perspective and survey data:
https://flutter.dev/blog/how-dart-and-flutter-are-thinking-about-ai-in-2026
• Flutter AI overview:
https://flutter.dev/ai
• Dart and Flutter MCP server:
https://docs.flutter.dev/ai/mcp-server
• Dreamflow documentation:
docs.dreamflow.com
• Firebase AI Logic:
firebase.google.com/products/firebase-ai-logic
• Firebase AI Logic production checklist:
firebase.google.com/docs/ai-logic/production-checklist
• Flutter AI Toolkit:
https://docs.flutter.dev/ai/ai-toolkit
• flutter_gemma:
https://pub.dev/packages/flutter_gemma
• Official Firebase AI Logic Flutter showcase:
github.com/flutter/demos/tree/main/firebase_ai_logic_showcase
COMMUNITY EXAMPLES
The Bunny Search, Pic2Plate, and AI Photo Scavenger Hunt concepts shown in the video come from this 2024 community roundup. They are presented as community demonstrations, not as live tests performed for this video:
leancode.co/blog/apps-build-with-gemini-ai-and-flutter
#Flutter #AI #Dart
79% of Flutter developers report using AI assistants—but “Flutter + AI” now describes three very different workflows: AI that writes Flutter code, AI features inside a Flutter app, and AI models running directly on the device.
In this video, I break down all three using official Flutter and Firebase documentation plus community examples. We look at the Dart and Flutter MCP server, Dreamflow, Firebase AI Logic, Flutter AI Toolkit, and flutter_gemma.
Which direction should I turn into a full tutorial first? Comment 1, 2, or 3:
1. AI-assisted Flutter development
2. Gemini inside a Flutter app
3. On-device AI with flutter_gemma
CHAPTERS
00:00 How Flutter developers use AI
00:31 AI that writes Flutter code
01:56 AI features inside Flutter apps
03:21 AI that runs on the device
04:17 The three approaches and what comes next
OFFICIAL SOURCES AND TOOLS
• Flutter’s 2026 AI perspective and survey data:
https://flutter.dev/blog/how-dart-and-flutter-are-thinking-about-ai-in-2026
• Flutter AI overview:
https://flutter.dev/ai
• Dart and Flutter MCP server:
https://docs.flutter.dev/ai/mcp-server
• Dreamflow documentation:
docs.dreamflow.com
• Firebase AI Logic:
firebase.google.com/products/firebase-ai-logic
• Firebase AI Logic production checklist:
firebase.google.com/docs/ai-logic/production-checklist
• Flutter AI Toolkit:
https://docs.flutter.dev/ai/ai-toolkit
• flutter_gemma:
https://pub.dev/packages/flutter_gemma
• Official Firebase AI Logic Flutter showcase:
github.com/flutter/demos/tree/main/firebase_ai_logic_showcase
COMMUNITY EXAMPLES
The Bunny Search, Pic2Plate, and AI Photo Scavenger Hunt concepts shown in the video come from this 2024 community roundup. They are presented as community demonstrations, not as live tests performed for this video:
leancode.co/blog/apps-build-with-gemini-ai-and-flutter
#Flutter #AI #Dart
