Curriculum

14 Chapters · 14 Lessons

  1. 1
    1. Free Preview Free preview
  2. 2
    1. (Included in full purchase)

      Introduction to AI-Driven Next.js Development

  3. 3
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      Initializing Vercel v0 Project

  4. 4
    1. (Included in full purchase)

      v0 UI Generation

  5. 5
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      Firebase Integration with v0

  6. 6
    1. (Included in full purchase)

      Role-Based Access Control

  7. 7
    1. (Included in full purchase)

      AI-Generated API Routes

  8. 8
    1. (Included in full purchase)

      Firestore Optimization, Caching, and Core Web Vitals

  9. 9
    1. (Included in full purchase)

      E-Commerce System with AI, Firestore, and Stripe Payments

  10. 10
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      Data Pipelines and Real-Time Dashboards

  11. 11
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      AI Collaboration, Security, and Ethical Supervision

  12. 12
    1. (Included in full purchase)

      Scaling to Production and Monitoring

  13. 13
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      Future of AI-Driven Development and Prompt Frameworks

  14. 14
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      Index

About the Course

AI can generate a Next.js application in seconds, but the developers who know how to guide AI with precision, architectural constraints, and performance-aware thinking are the ones shipping applications that actually work at scale. Prompting Next.js for Full Stack Development shows you how to move beyond fragile AI-generated demos and translate natural-language intent into production-ready Next.js applications using Vercel v0 and AI tools throughout. Rather than blindly accepting AI output, this book puts disciplined prompt-driven execution at the centre. You use precise prompting techniques to generate scalable UI components, design Firestore queries with pagination and indexes, implement RBAC with Firebase Auth, build clean API routes, and debug hydration errors and layout shifts that AI-generated code produces in production environments. Thus, by the end of the book, you will use AI prompts as a core part of your Next.js development workflow, shipping real applications — including a complete e-commerce system with Stripe payments, high performance, reliability, and engineering discipline that production demands.

About the Author

Andrei Tazetdinov is a software engineer focused on modern development and AI-assisted workflows. He specializes in building scalable applications with Next.js and React Native using architectural patterns. Through his work, Andrei explores how AI tools can accelerate development while maintaining performance, reliability, and production quality.