🚀 Watch Two Product Managers Test the Future of No-Code Development
Meet Hosts: Srinath - [https://www.linkedin.com/in/skotela/]Phani - [https://www.linkedin.com/in/phanivuyyuru]Sid - [https://www.linkedin.com/in/sidsaladi/] [https://sidsaladi.substack.com/ [https://mobile.twitter.com/Sidsaladi]💎 Here are more resources for you🚀 The Ultimate PM Launch Pad - Blast Off Your Career Now! 🚀https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt🧰 Master the PM Toolkit - Equip Yourself for Success! 🧰https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE⚡️ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! ⚡️https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33o
In this live coding session, we put Lovable's new Agent Mode to the test by building a complete fitness tracking app that scans food images and calculates calories using AI.
What You'll Learn:
- How AI agents differ from traditional prompt-based development
- Real comparison between Agent Mode vs Regular Mode performance
- Why Agent Mode produces 90% fewer errors
- How modern apps are shifting from business logic to AI activation
- Integration strategies for OpenAI Vision API
- Design system considerations for enterprise adoption
Key Product Management Insights:✅ Agent Mode handles holistic product thinking automatically✅ Adaptive pricing based on actions, not messages✅ Credit rollover feature reduces subscription waste✅ Collaboration features enable team-based development✅ Enterprise design system integration coming soon
App Features Built:
- Image upload and food scanning
- AI-powered calorie calculation
- Daily nutrition logging
- Protein, carb, and nutrient tracking
- Complete user flow with navigation
Tools Used:
- Lovable (Agent Mode)
- OpenAI Vision API
- Supabase for secure key storage
Perfect for:
- Product Managers exploring AI-first development
- No-code builders wanting to level up
- Teams considering AI agent integration
- Anyone curious about the future of app development
💡 Subscribe for more product management insights and AI development sessions!
Timestamps:0:00 Introduction & Agent Mode Overview1:58 Problem Definition: Fitness Tracking Pain Points3:36 Agent vs Regular Mode Explanation5:10 Credit Usage & Subscription Model Analysis7:04 Building Without Agent Mode13:00 Enabling Agent Mode - First Impressions18:06 Real-time Problem Solving & Debugging21:15 OpenAI Integration & Security Handling24:37 Success! App Working End-to-End25:44 Key Insights: From Business Logic to AI Activation
Tags: #ProductManagement #AIAgents #NoCode #Lovable #OpenAI #FitnessApp #AgentMode #ProductDevelopment #AIIntegration #TechReview
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