English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 77 lectures (4h 59m) | 2.55 GB
Leverage AI to boost your productivity as a developer: Use GitHub Copilot, Cursor AI and ChatGPT for efficient coding
This is THE course developers should take to leverage AI efficiently!
AI is not a threat—it’s an incredibly powerful tool that can help you become an even more efficient and productive developer. While AI can generate code snippets and assist with routine tasks, it still needs your developer knowledge to create safe, reliable and complex applications. This course is all about teaching you how to combine your developer skills with AI tools to boost your developer productivity.
By learning how to use AI tools like GitHub Copilot and Cursor AI efficiently, you can make routine coding tasks faster and easier, leaving you more time to focus on the most important and creative aspects of development. This course shows you exactly how to do that.
You’ll discover how to integrate AI seamlessly into your workflow, ensuring that it complements your knowledge without replacing the essential role you play as a developer. AI is here to enhance, not replace, your skills.
Through practical demos with GitHub Copilot, Cursor AI and external services like ChatGPT, you’ll learn how to leverage AI to improve your coding speed, enhance productivity, and solve complex challenges more efficiently. Whether you’re just starting out or already have experience, this course will teach you how to use these tools to your advantage.
What’s in this course?
- Introduction to GitHub Copilot: Learn what GitHub Copilot is. Explore its core features like code suggestions, chat and contextual code assistance.
- Advanced GitHub Copilot Usage: Dive into more advanced features such as generating unit tests, configuring chat settings and understanding how to prompt the AI for more complex tasks.
- Mastering Cursor AI: Discover how Cursor helps with code completion, chat, Cursor Composer and smart suggestions to make coding faster and more intuitive.
- External AI Tools: Learn how to integrate external services like ChatGPT into your workflow to streamline tasks like project planning, researching and even asset generation.
- Real-World Practice Project: I’ll walk you through creating a REST API from scratch using AI tools. From planning and structuring the app to generating code, implementing features and fixing errors, you’ll see how AI tools can assist every step of the way.
- Prompt Engineering Essentials: Learn how to fine-tune your prompts to get the best outputs from AI, helping you avoid common pitfalls and optimize efficiency.
- Debugging and Troubleshooting with AI: See how AI tools can assist with error detection, fixing bugs and improving your code’s overall quality.
This course is short, practical, and straight to the point, designed to equip you with everything you need to start boosting your productivity right away.
I think the future of development is about collaboration between AI and developers—and this course teaches you the tools you need to do so.
What you’ll learn
- Use GitHub Copilot to write, test and improve code with AI suggestions
- Configure and fine-tune GitHub Copilot chat for your requirements as a developer
- Generate and enhance code with Cursor AI
- Use Cursor AI smart suggestions, completions, Composer and chat
- Plan projects and create assets with ChatGPT or other external AI services
- Understand prompt engineering essentials to get the most accurate AI outputs
- Build a complete demo project (REST API) leveraging GitHub Copilot, Cursor AI and ChatGPT
Table of Contents
Getting Started
1 Welcome To The Course!
2 Course Overview What You’ll Learn & Achieve
3 Course Focus AI Programming Tools & Beyond
4 Understanding AI Limitations, Costs & Unpredictability
5 Join The Academind Community
Leverage GitHub Copilot Suggestions & Chat
6 Introducing GitHub Copilot
7 GitHub Copilot AI Code Completion For Developers
8 Installing & Setting Up GitHub Copilot
9 Using AI Powered Code Suggestions To Write Code
10 Mastering Prompts Using Comments To Guide Github Copilot’s AI
11 Writing A Full Python Script With Suggestions
12 Using The Inline Chat Feature To Add Error Handling
13 Configuring GitHub Copilot Tips For Efficient Use
14 Taking Advantage of Code Actions
15 Exploring The Sidebar Chat For More Complex Tasks
16 Adding Context Using References & Shortcuts For Smarter Code Creation
17 Adding Additional Participants For Enhanced Sidebar Chat Context
18 Running Terminal Commands Efficiently With AI
19 Mastering GitHub Copilot Slash Commands Explain, Fix & More
20 Multi-File Edits with Copilot Edits
21 Automating Unit Test Generation For Selected Code Sections
22 Creating New Projects With The new Command
23 Prompt Engineering Essentials Guidelines & Best Practices
24 How Being Specific & Adding Context Improves AI Code Generation Efficiency
25 Validating Input With GitHub Copilot Sidebar Chat
26 Effective Iteration Balancing AI & Manual Coding
27 GitHub Copilot Extensions
Introducing Cursor AI Smart Suggestions, Chat and Composer
28 Introducing Cursor AI
29 What Is Cursor AI & How It Enhances Developer Productivity
30 Prerequisites For Using Cursor What You Need To Know
31 Getting Started With Cursor’s Auto-Suggestions
32 Smart & Predictive Code Completion With Cursor Writing Code Faster With Tab
33 Fixing Code On The Fly With Cursor’s AI-Powered Suggestions
34 Using Comments As Prompts To Guide Cursor’s Code Generation
35 Debugging Errors In The Terminal
36 Understanding Cursor’s Inline Chat Feature
37 Leveraging The Docs Integration For Better Code Generation
38 Generating Terminal Commands With The Inline-Chat
39 Explaining Selected Code Snippets With The Quick Question Mode
40 Enhancing The Workflow With The External Sidebar Chat Window
41 Editing Multiple Files & Performing More Complex Edits With Cursor Composer Mode
42 Cursor AI Features Round-Up Tests, Code Fixes & More
ChatGPT Or Other External AI Services Use-Cases During Development
43 Introduction To External AI Services
44 How To NOT Use ChatGPT As A Developer
45 Planning Applications With ChatGPT
46 Researching Development Solutions With External AI Services
47 Using AI For Asset Generation
48 Prompt Engineering Key Techniques
49 Section Round Up When To Use External AI Services In Development
Practice Project Creating a REST API with AI
50 A Full Demo Project Overview
51 The REST API Application Requirements Overview
52 Planning the Application Structure with ChatGPT
53 Setting Up the Project in Cursor AI
54 Writing User Registration & Login Code with Cursor Composer
55 Providing Follow-Up Feedback To Cursor Composer
56 Connecting to A SQLite Database with Cursor’s Sidebar Chat
57 Tweaking AI-Generated Code
58 Using Inline Chat For Editing Validation Code
59 Testing the REST API With Postman
60 Encrypting User Passwords With bcryptjs
61 Debugging the App With The AI Chat
62 Adding Authentication with JSON Web Tokens
63 Adding Event Specific Routes With GitHub Copilot Inline Chat
64 Creating, Editing & Deleting Events With Copilot’s Sidebar Chat
65 Creating & Exporting Reusable Model Functions For Event Management
66 Testing & Debugging The App
67 Implementing & Testing Validation With The Inline Chat
68 Protecting Event Routes With User Authentication
69 Testing Authentication
70 Adding Role Based Authorization To The Update & Delete Routes
71 Testing Authorization
72 Adding POST Routes with Suggestions For Registering & Unregistering Events
73 Testing & Fixing Event Registration & Unregistration
74 Integrating Image Upload Functionality With The Multer Package
75 Finishing & Testing The Image Upload Feature
76 Adding Frontend Applications To The REST API with the CORS Package
77 Conclusion & Next Steps
Resolve the captcha to access the links!