Ai For Developers With Github Copilot, Cursor Ai & Chatgpt

Ai For Developers With Github Copilot, Cursor Ai & Chatgpt
Published 10/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Leverage AI to boost your productivity as a developer: Use GitHub Copilot, Cursor AI and ChatGPT for efficient coding

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

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

Requirements

Basic understanding of programming concepts is required

Familiarity with GitHub is recommended but not required

No prior AI experience necessary to succeed in this course

Description

Overview

Lecture 1 Welcome To The Course!

Lecture 2 Course Overview: What You’ll Learn & Achieve

Lecture 3 Course Focus: AI Programming Tools & Beyond

Lecture 4 Understanding AI: Limitations, Costs & Unpredictability

Section 2: Leverage GitHub Copilot Suggestions & Chat

Lecture 5 Introducing GitHub Copilot

Lecture 6 GitHub Copilot: AI Code Completion For Developers

Lecture 7 Installing & Setting Up GitHub Copilot

Lecture 8 Using AI Powered Code Suggestions To Write Code

Lecture 9 Mastering Prompts: Using Comments To Guide Github Copilot’s AI

Lecture 10 Writing A Full Python Script With Suggestions

Lecture 11 Using The Inline Chat Feature To Add Error Handling

Lecture 12 Configuring the Chat: Tips For Efficient Use

Lecture 13 Exploring The Sidebar Chat For More Complex Tasks

Lecture 16 Running Terminal Commands Efficiently With AI

Lecture 17 Mastering GitHub Copilot Slash Commands: Explain, Fix & More

Lecture 18 Automating Unit Test Generation For Selected Code Sections

Lecture 19 Creating New Projects With The /new Command

Lecture 20 Prompt Engineering Essentials: Guidelines & Best Practices

Lecture 21 How Being Specific & Adding Context Improves AI Code Generation Efficiency

Lecture 22 Validating Input With GitHub Copilot Sidebar Chat

Lecture 23 Effective Iteration: Balancing AI & Manual Coding

Lecture 24 Introducing Cursor AI

Lecture 25 What Is Cursor AI & How It Enhances Developer Productivity

Lecture 26 Prerequisites For Using Cursor: What You Need To Know

Lecture 29 Fixing Code On The Fly With Cursor’s AI-Powered Suggestions

Lecture 30 Using Comments As Prompts To Guide Cursor’s Code Generation

Lecture 31 Debugging Errors In The Terminal

Lecture 32 Understanding Cursor’s Inline Chat Feature

Lecture 33 Leveraging The Docs Integration For Better Code Generation

Lecture 34 Generating Terminal Commands With The Inline-Chat

Lecture 35 Explaining Selected Code Snippets With The Quick Question Mode

Lecture 36 Enhancing The Workflow With The External Sidebar Chat Window

Lecture 37 Editing Multiple Files & Performing More Complex Edits With Cursor Composer Mode

Lecture 38 Cursor AI Features Round-Up: Tests, Code Fixes & More

Section 4: ChatGPT Or Other External AI Services: Use-Cases During Development

Lecture 39 Introduction To External AI Services

Lecture 40 How To NOT Use ChatGPT As A Developer

Lecture 41 Planning Applications With ChatGPT

Lecture 42 Researching Development Solutions With External AI Services

Lecture 43 Using AI For Asset Generation

Lecture 44 Prompt Engineering: Key Techniques

Lecture 45 Section Round Up: When To Use External AI Services In Development

Section 5: Practice Project: Creating a REST API with AI

Lecture 46 A Full Demo Project: Overview

Lecture 47 The REST API: Application Requirements Overview

Lecture 48 Planning the Application Structure with ChatGPT

Lecture 49 Setting Up the Project in Cursor AI

Lecture 50 Writing User Registration & Login Code with Cursor Composer

Lecture 51 Providing Follow-Up Feedback To Cursor Composer

Lecture 52 Connecting to A SQLite Database with Cursor’s Sidebar Chat

Lecture 53 Tweaking AI-Generated Code

Lecture 54 Using Inline Chat For Editing Validation Code

Lecture 55 Testing the REST API With Postman

Lecture 56 Encrypting User Passwords With bcryptjs

Lecture 57 Debugging the App With The AI Chat

Lecture 58 Adding Authentication with JSON Web Tokens

Lecture 59 Adding Event Specific Routes With GitHub Copilot Inline Chat

Lecture 60 Creating, Editing & Deleting Events With Copilot’s Sidebar Chat

Lecture 61 Creating & Exporting Reusable Model Functions For Event Management

Lecture 62 Testing & Debugging The App

Lecture 63 Implementing & Testing Validation With The Inline Chat

Lecture 64 Protecting Event Routes With User Authentication

Lecture 65 Testing Authentication

Lecture 66 Adding Role Based Authorization To The Update & Delete Routes

Lecture 67 Testing Authorization

Lecture 68 Adding POST Routes with Suggestions For Registering & Unregistering Events

Lecture 69 Testing & Fixing Event Registration & Unregistration

Lecture 70 Integrating Image Upload Functionality With The Multer Package

Lecture 71 Finishing & Testing The Image Upload Feature

Lecture 72 Adding Frontend Applications To The REST API with the CORS Package

Lecture 73 Conclusion & Next Steps

Developers looking to boost productivity with GitHub Copilot, Cursor and other AI tools,Anyone curious about AI-driven development and seeking hands-on experience with real projects