Prompting Next.js for Full Stack Development

Prompt with Precision. Build at Production Scale.

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com.
● End-to-end Next.js development workflow using Vercel v0 and AI prompts to generate, refine, and ship scalable applications.
● Hands-on Firebase and Firestore integration covering RBAC, real-time data, pagination, and query optimization.
● Production-grade Next.js engineering with Core Web Vitals, Lighthouse CI, API architecture, and e-commerce system design.

Book Description
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.

What you will learn
● Generate and refine scalable Next.js UI components using Vercel v0 and AI-driven prompt workflows.
● Design Firestore queries with pagination, limits, and indexes for production-grade data performance.
● Implement Role-Based Access Control using Firebase Auth and server-side validation with precision.
● Debug hydration errors, layout shifts, and AI-generated code instability in real Next.js applications.
● Optimise Next.js performance using Core Web Vitals, Lighthouse CI, and rendering strategy selection.
● Build and ship a complete e-commerce system with Stripe payments, product grids, and SEO architecture.

1. Introduction to AI-Driven Next.js Development
2. Initializing Vercel v0 Project
3. v0 UI Generation
4. Firebase Integration with v0
5. Role-Based Access Control
6. AI-Generated API Routes
7. Firestore Optimization, Caching, and Core Web Vitals
8. E-Commerce System with AI, Firestore, and Stripe Payments
9. Data Pipelines and Real-Time Dashboards
10. AI Collaboration, Security, and Ethical Supervision
11. Scaling to Production and Monitoring
12. Future of AI-Driven Development and Prompt Frameworks
Index

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.