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This episode explores how AI coding agents are reshaping how software is built, through the practical experience of Vardhaman Deshpande. The core insight is that pro-code developers using natural language with modern AI models can now build features and agents faster than many low-code tools. The conversation examines velocity gains, trade-offs between pro-code and low-code, and what this shift means for professionals building AI-powered solutions.
 
🎙️  Full Show Notes
https://www.microsoftinnovationpodcast.com/809

👉 What you’ll learn     

✅ Highlights     

🧰 Mentioned     

✅ Keywords      
ai agents, pro-code, low-code, github copilot, copilot studio, microsoft foundry, azure ai, natural language coding, software velocity, ai development, microsoft ecosystem, automation 

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Thanks for listening 🚀 - Mark Smith