🚀 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

Lovable's Agent Mode vs Regular Mode: Building a Fitness App in 20 Minutes

Everything Product Podcast