学习使用Next.js、NestJS、Turborepo构建全类型安全Monorepo，结合Prisma、Orval与Claude AI实现自动化流水线与智能开发。适合中级开发者提升工程效率。
原始标题：Next JS Modern Stack – Tooling and AI
课程 Next.js Modern Stack, Tooling, and AI 专注于构建基于 Next.js、NestJS 和 Turborepo 的现代化、全类型安全且 AI 友善的 TypeScript Monorepo 项目。课程核心在于利用 Orval、TanStack Query 和 Prisma 等技术建立工业级自动化流水线，并指导如何为 Claude 智能体配置规则以约束项目输出。
Published 6/2026
Created by Eincode by Filip Jerga, Filip Jerga
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 35 Lectures ( 5h 51m ) | Size: 3.3 GB
Build a scalable modern stack with Next.js (React), NestJS, Prisma, and AI-assisted (Claude) development.
What you’ll learn
⚡ Build a full-stack monorepo with Next.js, NestJS, and Turborepo.
⚡ Keep code clean with Biome linting and formatting.
⚡ Manage data and state with TanStack Query and Nuqs.
⚡ Build AI-ready workflows with Prisma, Swagger, Orval, and Claude.
Requirements
❗ Basic knowledge of JavaScript is recommended.
Description
This course is a practical guide to building modern full-stack applications with Next.js, NestJS, powerful developer tooling, and an AI-ready workflow.
Rather than focusing only on coding features, this course teaches you how to create a project setup that stays clean, scalable, type-safe, and productive as it grows.
You will build a simple terminal-inspired notepad application. The application itself is not the main point. The real focus is the tooling, architecture, automation, and development workflow behind a modern TypeScript project.
What Makes This Course Unique?
Many courses teach you how to build a feature. This course focuses on the systems that make feature development faster, cleaner, and easier to maintain.
You will create a full-stack monorepo with a Next.js frontend and NestJS backend, then connect everything through shared conventions, generated API clients, code quality tooling, and AI-assisted development practices.
By the end, you will understand how modern tooling and AI can work together in a real-world project.
Build a Modern Full-Stack Monorepo
You will start by creating a clean monorepo structure for your application.
You will learn how to
✨ Set up Next.js and NestJS in one workspace.
✨ Organize applications and shared packages clearly.
✨ Use Turborepo to manage and run multiple applications.
✨ Create a project structure that can scale with your ideas.
This gives you a strong foundation for professional full-stack development.
Create a Terminal-Inspired Notepad Application
You will build a simple notepad application inspired by an old-school terminal.
The project is intentionally focused so you can spend less time on complicated business logic and more time understanding the modern stack behind it.
Throughout the project, you will explore frontend architecture, backend communication, database integration, generated API clients, and AI-assisted feature development.
Keep Code Clean with Biome
Modern projects need fast and reliable code quality tools, especially when AI is helping generate code.
You will use Biome for linting and formatting to keep your code clean, consistent, and easy to maintain across the entire project.
You will learn how to apply the same quality standards to code written by you and code generated by AI.
Manage State with TanStack Query and nuqs
You will learn how to manage frontend state using modern, type-safe tools.
You will use
✨ TanStack Query for fetching, caching, server state, and mutations.
✨ nuqs to synchronize application state with URL parameters.
✨ Type-safe patterns for search, filters, pagination, and UI state.
This helps you create applications that are easier to navigate, share, debug, and maintain.
Build a Type-Safe Backend
On the backend, you will build a modern API using NestJS, PostgreSQL, Neon, and Prisma.
You will learn how to
✨ Structure a NestJS backend.
✨ Connect to PostgreSQL through Neon.
✨ Define data models with Prisma.
✨ Communicate with the database using clean TypeScript code.
✨ Build backend features with a scalable foundation.
Generate API Types and Hooks Automatically
You will use Swagger and Orval to connect your backend and frontend more efficiently.
You will learn how to
✨ Document your NestJS API with Swagger.
✨ Generate TypeScript types from API contracts.
✨ Generate fetching functions and frontend hooks automatically.
✨ Keep frontend and backend code synchronized.
✨ Reduce duplicated types and repetitive API code.
This creates a cleaner workflow and helps prevent frontend-backend mismatches.
Build an AI-Ready Workflow with Claude
AI can speed up development, but it works best when your project has clear structure, rules, and conventions.
You will learn how to use rules and skills for Claude AI so it can work effectively inside your codebase.
You will see how to
✨ Give AI useful project context.
✨ Create reusable rules for consistent development.
✨ Use AI to help build new features.
✨ Keep generated code aligned with your project standards.
✨ Combine AI assistance with linting, formatting, type safety, and automated tooling.
The goal is not to let AI take over your project. The goal is to make it a reliable part of your workflow.
By the End of This Course
You will have
✨ A practical understanding of full-stack monorepos with Next.js and NestJS.
✨ Experience using Turborepo to manage multiple applications.
✨ A clean code-quality workflow with Biome.
✨ Type-safe frontend state management with TanStack Query and nuqs.
✨ A backend built with NestJS, PostgreSQL, Neon, and Prisma.
✨ Automatically generated API types, functions, and hooks with Swagger and Orval.
✨ A practical workflow for using Claude AI to build features more effectively.
✨ A reusable foundation for modern, scalable, AI-ready TypeScript projects.
Join the course and learn how to build more than an application. Learn how to build a modern development workflow that helps you move faster, stay organized, and create better software.
Who this course is for
⭐ Developers who want to build a modern full-stack application.
⭐ Developers who want better tooling and project structure.
⭐ Developers interested in monorepos, type safety, and API automation.
⭐ Developers who want to use AI effectively in real TypeScript projects.
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