AI For Developers With GitHub Copilot, Cursor AI & ChatGPT

4h 47m 8s
English
Paid
November 5, 2024

This course is designed for developers who want to effectively leverage AI!

AI is not a threat but a powerful tool that can make you an even more productive developer. While AI can generate code and assist with routine tasks, your knowledge is still necessary to create secure, reliable, and complex applications. This course will teach you how to combine your skills with AI capabilities to boost productivity.

By learning how to use AI tools like GitHub Copilot and Cursor AI, you will be able to perform routine tasks faster and more easily, leaving more time for the most important and creative aspects of development. This course will show you how to do just that.

You will learn to seamlessly integrate AI into your work to complement your knowledge without replacing it. AI is meant to enhance your skills, not replace them.

Through the course, with practical examples using GitHub Copilot, Cursor AI, and external services like ChatGPT, you will learn how to use AI to accelerate code, increase productivity, and solve complex problems. Whether you are a beginner developer or an experienced professional, this course will show you how to apply these tools to maximum benefit.

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What Awaits You in This Course?

  • Introduction to GitHub Copilot: Learn the basics of GitHub Copilot, including code suggestions, chat, and contextual hints.
  • Advanced Use of GitHub Copilot: Master more complex features like generating unit tests, chat settings, and prompts for performing complex tasks.
  • Mastering Work with Cursor AI: Discover how Cursor helps accelerate programming with code completion, chat, Cursor Composer, and smart suggestions.
  • External AI Tools: Integration with external services like ChatGPT to simplify planning, research, and even asset generation tasks.
  • Practical Project: Create a REST API from scratch using AI tools. From planning and structuring the application to generating code, implementing features, and fixing errors - you'll see how AI assists at every stage.
  • Basics of Prompt Engineering: Learn how to improve prompts to AI to get accurate responses and increase efficiency.
  • Debugging and Error Correction with AI: Evaluate how AI tools help detect errors, fix bugs, and improve overall code quality.

This course is short, practical, and aimed at equipping you quickly with everything necessary to enhance productivity.

I believe the future of development is a collaboration between AI and developers, and this course provides you with the necessary tools for such interaction.

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# Title Duration
1 Welcome To The Course! 02:10
2 Course Overview: What You'll Learn & Achieve 01:57
3 Course Focus: AI Programming Tools & Beyond 01:48
4 Understanding AI: Limitations, Costs & Unpredictability 02:20
5 GitHub Copilot: AI Code Completion For Developers 01:31
6 Introducing GitHub Copilot 03:01
7 Installing & Setting Up GitHub Copilot 03:42
8 Using AI Powered Code Suggestions To Write Code 05:36
9 Mastering Prompts: Using Comments To Guide Github Copilot's AI 05:00
10 Writing A Full Python Script With Suggestions 10:55
11 Using The Inline Chat Feature To Add Error Handling 05:24
12 Configuring the Chat: Tips For Efficient Use 02:07
13 Exploring The Sidebar Chat For More Complex Tasks 05:03
14 Adding Context: Using References & Shortcuts For Smarter Code Creation 04:29
15 Adding Additional Participants For Enhanced Sidebar Chat Context 04:34
16 Running Terminal Commands Efficiently With AI 04:01
17 Master GitHub Copilot Slash Commands: Explain, Fix & More 03:39
18 Automating Unit Test Generation For Selected Code Sections 02:15
19 Creating New Projects With The /new Command 01:59
20 Prompt Engineering Essentials: Guidelines & Best Practices 03:49
21 How Being Specific & Adding Context Improves AI Code Generation Efficiency 06:07
22 Validating Input With GitHub Copilot Sidebar Chat 07:07
23 Effective Iteration: Balancing AI & Manual Coding 03:18
24 Introducing Cursor AI 01:15
25 What Is Cursor & How It Enhances Developer Productivity 04:42
26 Prerequisites For Using Cursor: What You Need To Know 01:32
27 Getting Started With Cursor’s Auto-Suggestions 03:08
28 Smart & Predictive Code Completion With Cursor: Writing Code Faster With Tab 02:57
29 Fixing Code On The Fly With Cursor's AI-Powered Suggestions 02:40
30 Using Comments As Prompts To Guide Cursor’s Code Generation 02:42
31 Debugging Errors In The Terminal 01:58
32 Understanding Cursor's Inline Chat Feature 02:19
33 Leveraging The Docs Integration For Better Code Generation 03:20
34 Generating Terminal Commands With The Inline-Chat 01:10
35 Explaining Selected Code Snippets With The Quick Question Mode 01:30
36 Enhancing The Workflow With The External Sidebar Chat Window 04:31
37 Editing Multiple Files & Performing More Complex Edits With Cursor Composer Mode 08:06
38 Cursor AI Features Round-Up: Tests, Code Fixes & More 00:54
39 Introduction To External AI Services 01:42
40 How To NOT Use ChatGPT As A Developer 02:28
41 Planning Applications With ChatGPT 03:17
42 Researching Development Solutions With External AI Services 01:53
43 Using AI For Asset Generation 03:02
44 Prompt Engineering: Key Techniques 01:47
45 Section Round Up: When To Use External AI Services In Development 00:47
46 A Full Demo Project: Overview 02:42
47 The REST API: Application Requirements Overview 02:14
48 Planning the Application Structure with ChatGPT 05:55
49 Setting Up the Project in Cursor AI 05:35
50 Writing User Registration & Login Code with Cursor Composer 04:15
51 Providing Follow-Up Feedback To Cursor Composer 07:15
52 Connecting to A SQLite Database with Cursor's Sidebar Chat 07:30
53 Tweaking AI-Generated Code 02:29
54 Using Inline Chat For Editing Validation Code 05:17
55 Testing the REST API With Postman 04:26
56 Encrypting User Passwords With bcryptjs 07:29
57 Debugging the App With The AI Chat 05:09
58 Adding Authentication with JSON Web Tokens 07:24
59 Adding Event Specific Routes With GitHub Copilot Inline Chat 03:02
60 Creating, Editing & Deleting Events With Copilot's Sidebar Chat 04:26
61 Creating & Exporting Reusable Functions For Event Management 04:37
62 Testing & Debugging The App 03:03
63 Implementing & Testing Validation With The Inline Chat 04:02
64 Protecting Event Routes With User Authentication 03:26
65 Testing Authentication 06:24
66 Adding Role Based Authorization To The Update & Delete Routes 07:26
67 Testing Authorization 02:39
68 Adding POST Routes with Suggestions For Registering & Unregistering Events 03:55
69 Testing & Fixing Event Registration & Unregistration 05:11
70 Integrating Image Upload Functionality With The Multer Package 09:09
71 Finishing & Testing The Image Upload Feature 06:00
72 Adding Frontend Applications To The REST API with the CORS Package 03:44
73 Conclusion & Next Steps 02:52

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