Cursor AI

Dive into the future of web development with this comprehensive course that teaches you how to leverage AI to build modern web applications faster and more efficiently. Through building a full-featured Kanban board application, you'll learn both practical AI-assisted development techniques and cutting-edge web development practices.

This isn't just another Next.js course – it's a deep dive into how AI can transform your development workflow. You'll learn how to effectively communicate with AI tools, understand their limitations, and use them to accelerate your development process while maintaining code quality and best practices.

What You'll Build

You'll create a production-ready Kanban board application featuring:

Dark/light theme support
Responsive, modern UI with shadcn/ui
PostgreSQL database with Drizzle ORM
Server-side data mutations
Type-safe frontend and backend
Docker containerization

What You'll Learn

AI-Assisted Development:

Master Cursor AI's capabilities and limitations
Learn effective prompting techniques for code generation
Understand how to validate and verify AI-generated code
Debug and troubleshoot with AI assistance
Create reusable AI instructions using Notepads
Handle AI hallucinations and knowledge cutoff issues

Modern Web Development:

Build with Next.js 15 and React Server Components
Implement modern UI patterns with shadcn/ui
Create type-safe database operations with Drizzle ORM
Handle server-side mutations with Server Actions
Manage application state effectively
Structure a production-ready Next.js application
Implement proper error handling and loading states
Work with Docker for development environments

Best Practices:

Write maintainable and scalable code
Implement proper TypeScript types and validation
Handle form validation and user input
Manage database schema and migrations
Structure server-side logic and API endpoints
Implement proper error handling
Create reusable components and utilities

Course Format

4.5 hours of video content
Hands-on project-based learning
Step-by-step implementation
Real-world problem solving
Best practices and patterns
Common pitfalls and solutions

Who This Course Is For

Perfect for:

Professional developers wanting to leverage AI in their workflow
Full-stack developers looking to master Next.js 15
Developers interested in modern React patterns and best practices
Engineers who want to learn practical AI-assisted development
Teams looking to adopt AI-assisted development practices

You'll be successful in this course if you have:

Basic understanding of React and TypeScript
Familiarity with modern JavaScript/TypeScript
Basic understanding of databases and SQL
Desire to learn AI-assisted development
Interest in modern web development practices

Not required, but helpful:

Experience with Next.js
Familiarity with ORM concepts
Understanding of REST APIs
Basic Docker knowledge

Why This Course?

Practical Skills: Learn by building a real-world application that you can add to your portfolio.

Modern Stack: Work with the latest technologies including Next.js 15, React Server Components, and Drizzle ORM.

AI Focus: Master AI-assisted development techniques that will multiply your productivity.

Best Practices: Learn production-ready patterns and practices used in professional development.

Comprehensive: Covers both frontend and backend development, including database design and API implementation.

By the end of this course, you'll not only have built a full-featured Kanban board application, but you'll also have mastered AI-assisted development techniques that will transform your development workflow. You'll be equipped with the skills to build modern web applications faster and more efficiently, while maintaining high code quality and following best practices.

Join me in exploring the future of web development, where AI becomes your pair programmer, helping you write better code faster than ever before.

What's inside

Learning objectives

Master cursor ai's capabilities and limitations
Learn effective prompting techniques for code generation
Understand how to validate and verify ai-generated code

Debug and troubleshoot with ai assistance
Create reusable ai instructions using notepads
Handle ai hallucinations and knowledge cutoff issues

Master cursor ai's capabilities and limitations
Learn effective prompting techniques for code generation
Understand how to validate and verify ai-generated code
Debug and troubleshoot with ai assistance
Create reusable ai instructions using notepads
Handle ai hallucinations and knowledge cutoff issues

Syllabus

Introduction

Welcome and What You'll Learn

Project Demo: Full-Stack Kanban Board in Next.js

About LLMs, Embeddings, Context and Limits of AI

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches modern web development practices with Next.js 15 and React Server Components, which are highly sought after in the industry

Explores AI-assisted development techniques, offering a practical approach to leveraging AI tools for increased productivity and code quality

Develops skills in building a full-featured Kanban board application, providing a real-world project to showcase practical abilities and understanding

Requires a basic understanding of React, TypeScript, databases, and SQL, suggesting that prior experience is needed to fully benefit from the course

Focuses on using Cursor AI, which may limit the applicability of the learned techniques to teams that do not use or plan to use this specific tool

Examines Docker containerization, which requires learners to have access to a computer that can run Docker and its dependencies, which may pose a barrier

Reviews summary

Ai-assisted full-stack next.js 15 project

According to learners, this course offers a unique and largely positive exploration into the future of web development by demonstrating AI-assisted workflows using Cursor AI alongside a modern tech stack including Next.js 15 and React Server Components, shadcn/ui, and Drizzle ORM. Students appreciate the hands-on project-based learning approach, finding the process of building a full-stack Kanban board highly practical and engaging. Reviewers highlight the instructor's effective teaching style, particularly in showing how to leverage AI tools while also emphasizing the need to understand the underlying code and handle AI hallucinations and limitations. While the course is praised for its focus on type safety and production-ready practices, some note that having a solid foundation in React and TypeScript, as mentioned in the prerequisites, is indeed crucial to keep up with the pace.

Shows need for human code understanding.

"Crucially, the course doesn't just rely on AI; it shows you when you need to step in and fix things manually."

"Good emphasis on verifying AI output and understanding why something works or doesn't."

"I learned that while AI is a great tool, you still need strong fundamentals to debug effectively."

Instructor explains concepts well.

"The instructor is clear and easy to follow, explaining complex topics effectively."

"Appreciated how the instructor handled errors and debugging, showing real-world problem-solving."

"His approach to integrating AI and demonstrating its use and limitations was very effective."

Uses up-to-date technologies effectively.

"Working with Next.js 15, RSC, and Drizzle ORM was exactly what I was looking for to update my skills."

"The course did a great job integrating shadcn/ui and showing modern component patterns."

"Solid coverage of the latest features in Next.js and how to use them in a practical setting."

Effectively demonstrates using AI in development.

"The focus on using AI (Cursor) as a development partner was insightful and showed how to integrate it into the workflow."

"It was really interesting to see how AI can help accelerate coding, even showing how to deal with when it gets things wrong."

"I liked learning the prompting techniques and how to create reusable instructions for the AI."

Course builds a useful, real-world application.

"The hands-on coding and projects are the strongest part of the course for me, building the kanban board felt very practical."

"Learned a lot by building the full-stack application step-by-step. It's a great project to add to my portfolio."

"I appreciate that it focuses on building a real app rather than just theoretical concepts."

Needs prior React/TS/DB knowledge.

"The course moves at a good pace if you have the prerequisites, but beginners might struggle."

"Definitely need a solid understanding of React and TypeScript before taking this, or you'll get lost quickly."

"While it covers database interaction, basic SQL and ORM familiarity is very helpful."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Cursor AI: Learn by Building Full-Stack Next.js 15 App with these activities:

Review React Fundamentals

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Solidify your understanding of React fundamentals to better grasp the concepts used in Next.js 15 and React Server Components.

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Review React documentation on components, state, and props.
Complete a basic React tutorial or online course.
Build a small React application, such as a to-do list.

Brush Up on TypeScript

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Strengthen your TypeScript knowledge to effectively work with type-safe frontend and backend development in Next.js 15.

Browse courses on TypeScript

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Review TypeScript documentation on types, interfaces, and generics.
Practice writing TypeScript code with different data structures.
Convert an existing JavaScript project to TypeScript.

Review 'Fullstack Next.js'

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Use this book as a reference to better understand the full-stack Next.js development process.

View Alter Ego: A Novel on Amazon

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Read the chapters related to Next.js fundamentals and API routes.
Follow the examples in the book to build a small full-stack application.
Compare the book's approach to the techniques taught in the course.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Explore shadcn/ui Tutorials

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Deepen your understanding of shadcn/ui by following tutorials and examples to implement modern UI patterns in your Kanban board application.

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Browse the shadcn/ui documentation and examples.
Find tutorials that demonstrate specific UI components and patterns.
Implement the tutorials' examples in your Kanban board application.

Practice Drizzle ORM Queries

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Reinforce your understanding of Drizzle ORM by practicing writing different types of database queries and schema definitions.

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Review the Drizzle ORM documentation.
Set up a local database and create a sample schema.
Write queries to insert, update, and delete data using Drizzle ORM.

Extend the Kanban Board App

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Apply your knowledge by adding new features to the Kanban board application, such as user authentication or real-time updates.

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Choose a new feature to implement in the Kanban board application.
Design the UI and backend logic for the new feature.
Implement the feature using Next.js 15, React Server Components, and Drizzle ORM.
Test the feature thoroughly and fix any bugs.

Write a Blog Post on AI-Assisted Development

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Share your insights and experiences with AI-assisted development by writing a blog post that summarizes the techniques and best practices learned in the course.

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Choose a specific aspect of AI-assisted development to focus on.
Outline the key points and arguments for your blog post.
Write the blog post, providing examples and code snippets.
Edit and proofread the blog post before publishing it.

Contribute to an Open Source Next.js Project

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Contribute to an open-source Next.js project to gain experience working with a real-world codebase and collaborating with other developers.

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Find an open-source Next.js project that interests you.
Identify a bug or feature to work on.
Submit a pull request with your changes.
Respond to feedback from the project maintainers.

Career center

Learners who complete Cursor AI: Learn by Building Full-Stack Next.js 15 App will develop knowledge and skills that may be useful to these careers:

AI Application Developer

An AI Application Developer focuses on creating applications that use artificial intelligence to solve specific problems. This course helps build skills in AI-assisted development techniques, which are crucial for rapidly prototyping and implementing AI features. By learning how to effectively communicate with AI tools like Cursor AI, understanding their limitations, and using them to accelerate development while maintaining code quality, you will become proficient in building modern applications. Furthermore, the extensive guide to Next.js 15, React Server Components, and best practices for full-stack development covered are critical components in the modern AI application development landscape.

See salaries and explore the career path for AI Application Developer

Full Stack Engineer

Full Stack Engineers are in charge of both front-end and back-end development. This course provides extensive knowledge of Next.js 15, React Server Components, and database management with Drizzle ORM, all essential for full-stack development. Additionally, it focuses on using AI tools to enhance productivity and maintain code quality, a crucial advantage in today's fast-paced development environment. The project based learning approach helps to build a practical Kanban application, and the course covers all aspects of modern web development from user interface design to server side mutations.

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Web Application Developer

Web Application Developers build and maintain web applications. This course helps build a real-world Kanban board application using Next.js 15 and modern UI patterns, giving you hands-on experience with the latest web development technologies. The focus on AI-assisted development ensures that Web Application Developers are prepared to leverage AI tools to increase efficiency and improve code quality. The syllabus includes setting up UI libraries, building backend servers, and implementing features. You will learn how to implement components, handle server-side logic, and manage databases.

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Software Engineer

Software Engineers are involved in the design, development, testing, and maintenance of software systems. This course provides insights into AI-assisted development, helping you leverage AI tools to write better code faster. By learning to build a full-featured Kanban board application with features like dark/light theme support and responsive UI, you gain the practical skills to tackle modern software projects. The comprehensive approach to front-end and back-end development, including database design and API implementation, is a cornerstone for any successful Software Engineer.

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Front-End Developer

Front End Developers specialize in building the user interface of web applications. This course emphasizes modern UI patterns with shadcn/ui and React Server Components, which are critical for creating responsive and engaging user experiences. Furthermore, it teaches you how to use AI tools like Cursor AI to accelerate your development process and maintain code quality. The course includes hands-on experience building a Kanban board application, allowing you to apply the concepts learned to real-world projects. You will learn how to build dialogs, drop downs, and avatars.

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Back-End Developer

Back End Developers focus on server-side logic, databases, and APIs. This course provides in-depth knowledge of building server actions, managing databases with Drizzle ORM, and implementing API endpoints. It also teaches Back End Developers how to effectively use AI tools to debug, troubleshoot, and optimize server-side code. The Kanban board application project provides hands-on experience with server-side data mutations and database schema management, essential skills for a Back End Developer.

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AI Prompt Engineer

AI Prompt Engineers design and optimize prompts for AI models to achieve desired outputs. This course helps build crucial skills in effective prompting techniques for code generation, understanding AI limitations, and handling AI hallucinations. By working with Cursor AI, you will learn how to create reusable AI instructions using Notepads and validate AI-generated code, which are essential for prompt engineering. This course will sharpen your command of AI tools, so the outputs are more aligned to your goals. You will improve your debugging skills, as well.

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Application Architect

Application Architects design the structure and components of software applications. This course helps develop a strong understanding of modern web application architecture, including the use of Next.js 15, React Server Components, and Docker containerization. By learning how to build a full-featured Kanban board application, you gain insights into structuring a production-ready application, handling error handling, and managing application state effectively. The focus on AI-assisted development also helps Application Architects leverage AI tools for code generation and optimization.

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Solutions Architect

Solutions Architects design and implement IT solutions to meet business needs. This course helps build a solid foundation in modern web development practices, including Next.js 15, database management, and API implementation. By exploring the Kanban board application project, you gain insights into how to structure and deploy applications using Docker. The AI-assisted development techniques covered can help Solutions Architects design more efficient and innovative solutions. The course also teaches about handling server-side logic and managing application state.

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Technical Lead

Technical Leads oversee development teams and ensure projects are completed successfully. This course teaches best practices in modern web development, code quality, and AI-assisted development. The project-based learning approach provides practical experience in building a full-featured application, managing databases, and implementing APIs. The course also covers important aspects of team management and code review, which are crucial for Technical Leads. A technical lead can guide a team to build dialogs and drop downs.

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DevOps Engineer

DevOps Engineers streamline the software development lifecycle through automation and collaboration. While this course primarily focuses on application development, the experience with Docker containerization and best practices for production-ready applications may be useful for DevOps Engineers. Understanding how applications are built and deployed using modern tools like Next.js 15 and Drizzle ORM can help DevOps Engineers optimize deployment pipelines and infrastructure. You will pick up skills on managing application state effectively.

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Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. While this course focuses on web application development, it may be useful in understanding how data is handled within a modern web application. The exposure to PostgreSQL databases with Drizzle ORM and server-side data mutations may be valuable for Data Engineers working with applications that require data storage and retrieval. The course also touches upon managing database schema and migrations, which are relevant to data engineering tasks.

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Machine Learning Engineer

Machine Learning Engineers develop and deploy machine learning models. While this course primarily focuses on AI-assisted code development rather than machine learning, the insights into using AI tools to accelerate development and improve code quality may be relevant. Understanding how AI can be integrated into the development process may inspire Machine Learning Engineers to explore innovative ways to use AI in their own workflows. The course may give you an edge in leveraging new LLMs.

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Quality Assurance Engineer

Quality Assurance Engineers ensure the quality of software products through testing and validation. This course may be helpful in understanding the development process and the technologies used to build modern web applications. Exposure to Next.js 15, React Server Components, and best practices for code quality can help Quality Assurance Engineers develop more effective testing strategies. The course includes guidance on debugging and troubleshooting with AI assistance.

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Technical Writer

Technical Writers create documentation for software and hardware products. While this course primarily focuses on AI-assisted development and modern web development, it may be useful for understanding the technologies and processes involved in building modern applications. Exposure to Next.js 15, React Server Components, and Drizzle ORM can help Technical Writers create more accurate and informative documentation for developers. The course helps you understand setting up UI libraries.

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