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Cursor: Complete AI-Powered Software Development Workflow
Rating: 4.5 out of 5(1,070 ratings)
3,153 students

Cursor: Complete AI-Powered Software Development Workflow

Beyond Vibe Coding: Build Prod-Ready Apps with Cursor AI, Git, Testing, CI/CD with GitHub Actions & Learn Best Practices
Last updated 5/2026
English

What you'll learn

  • Build production-ready applications using tools like Cursor AI with professional workflows
  • Write user-centric specifications and break work into AI-optimized tasks
  • Effective Git version control for safe AI code generation and rollback strategies
  • Implement automated testing to validate AI-generated code quality
  • Set up CI/CD pipelines with GitHub Actions for automatic testing & deployment
  • Apply code review practices to evaluate and debug AI-generated code
  • Deploy applications to production with security and proper configuration

Course content

6 sections28 lectures1h 30m total length
  • Welcome to the course5:00
  • Overview of AI Coding Tools1:49
  • Installing Cursor3:28

    Install NodeJS, git, and Cursor on Windows, macOS, or Linux to run AI-powered coding in a VSCode-like editor; sign up for a free one-week pro trial.

  • Download course notes and prompts0:06
  • First Cursor project5:30
  • Understanding How AI Coding Assistants Work3:51

    Explore how AI coding assistants work through the roles of the large language model, the agent, and the tools, including retrieval augmented generation and context window management.

  • Vibe Coding4:08
  • Choosing a tech stack3:01

Requirements

  • Tools/software: Cursor, Node.js, Git, GitHub
  • Cursor, Node.js, Git, GitHub

Description

Learn to build production-ready applications using AI assistance with professional software development practices. This course goes beyond quick code generation—you'll master the complete workflow from specification to deployment.

What You'll Learn

Build Real Applications:

  • Create a complete project from scratch using Cursor and AI assistance

  • Write clear specifications and break work into manageable tasks

  • Build features iteratively with AI while maintaining code quality

Professional Development Practices:

  • Master Git version control for safe AI-assisted development

  • Implement automated testing to validate AI-generated code

  • Set up CI/CD pipelines for automatic testing and deployment

  • Review and debug code effectively using "trust but verify" principles

Work Like a Professional:

  • Use GitHub for collaboration and pull request workflows

  • Handle security considerations specific to AI-generated code

  • Deploy applications to production with confidence

Understand the Difference:

  • Distinguish between "vibe coding" and professional AI-powered development

  • Know when to use AI and when to write code yourself

  • Make informed decisions about AI tools and workflows

What You'll Build

A complete, deployed web application built with AI assistance, including:

  • User-centric product requirements

  • Clean, tested, production-ready code

  • Automated CI/CD pipeline

  • Professional documentation


Legal Disclaimer

This course is an independent educational resource and is not endorsed by, affiliated with, or associated with Cursor, Anysphere Inc., or any of its products. Cursor is a trademark of Anysphere Inc. All product names, logos, and brands mentioned in this course are the property of their respective owners.

This course contains promotional materials.


Who this course is for:

  • Software developers and testers who want to use AI tools professionally not just for quick prototypes, but for real, maintainable, production software.