
Discover how large language models work, compare ChatGPT, Google Bard, and GitHub Copilot, and learn to accelerate coding with AI-generated snippets, debugging, testing, security, and refactoring.
Set up your development environment by creating a free or trial GitHub account to access code examples hosted in GitHub repositories and activate GitHub Copilot.
Create your OpenAI account at chat.openai.com to access ChatGPT, and verify access via the ChatGPT app; course uses free version for experimentation with a future lecture on premium ChatGPT capabilities.
Install VS Code, a free cross-platform editor with built-in features and extensions from its marketplace, then download from the official website and run the installer.
Explore ChatGPT as a powerful coding assistant, and learn how GPT's generative, pre-trained transformer architecture works. Understand the attention mechanism and how to craft prompts that boost programming tasks.
Discover how ChatGPT learned programming from vast internet text, including code libraries and books, and why developers must review and test generated code before production.
Learn four rules for writing an ideal prompt to elicit precise ChatGPT outputs, demonstrated with a TypeScript NodeJS authentication module using passport JS and clear input, intent, and output requirements.
Explore how to use ChatGPT to conduct research and define a technology stack for an online medical consultations app with voice, video, chat, and calendar, scalable to 10k users.
Compare feature-based and domain-based React app structures, explore components, Redux state, tests, and how ChatGPT guides teams to choose and organize files and folders.
Generate a JavaScript lottery function that accepts three distinct numbers from 1 to 15, regenerates winning numbers each call, and returns jackpot, partial win, or unlucky.
Demonstrates generating a React component called add likes that increments a likes count stored in Firebase storage using a heart icon, with one-like-per-user toggle on click.
Explore using ChatGPT to explain code, especially regular expressions, refine patterns for case insensitivity and domain validity, and test and comment the resulting regex.
Explore how ChatGPT explains and refactors code into reusable functions, turning a quadratic solver and a reverse-alphabet cipher into testable, efficient solutions that save time and boost productivity.
Explore how ChatGPT helps programmers research, generate and explain code, debug, review code, and unit tests, while noting its outdated data, no internet, and Google Bard (Gemini) as a competitor.
Compare Google Bard and ChatGPT, highlighting Bard's real-time internet access and up-to-date information via Google Search, underpinned by the Google AI training data set.
Discover how an ai assistant integrated into your ide can streamline coding by generating and modifying code without switching windows, featuring GitHub Copilot as a built-in coding partner.
Explore GitHub Copilot as the premier AI pair programmer and contrast it with general language models like ChatGPT and Bard, setting up a deeper dive in the next lecture.
Discover how GitHub Copilot, an AI tool trained on high quality code for generation and completion in your IDE, boosts productivity with contextually relevant suggestions.
Register a GitHub Copilot account and start a 30-day free trial; choose billing and privacy options for individuals and explore code suggestions in VSCode.
Install GitHub Copilot and Copilot chat in VS Code marketplace, sign in and authorize, then use the chat tab as Copilot becomes ready.
Explore how Copilot works, including its training data from public code on GitHub and OpenAI's GPT models, and learn to use AI responsibly to speed up development.
Learn to prompt GitHub Copilot effectively to generate reliable code, practice with TypeScript time unit conversions, and explore live examples from a GitHub repository.
Explore how prompt by writing accelerates a MongoDB migration with mongoose, updating user names by concatenating first and last names, and selecting from Copilot's function suggestions.
Write extremely descriptive names for files, variables, functions, and entities to maximize Copilot efficiency, and share as much context as possible so Copilot can understand your intentions.
Use descriptive file names to give Copilot context and accelerate code generation, then experiment with file, variable, and function names to guide its suggestions.
maximize Copilot's accuracy by keeping contextually important files open and allowing Copilot to access open files and the IDs API, enabling cross-file context and smarter code suggestions.
Learn to prompt copilot with comments to generate a basic express.js server in node, with logging middleware, routes, 404 handling, and Docker packaging.
Dockerize an express.js application by creating a docker file, building a docker image, and running a container on port 3000 for portable deployment.
Explore how GitHub Copilot chat agents integrate with your workflow, focusing on the VSCode agent for quick settings tweaks and the terminal agent for commands, errors, and troubleshooting.
Explore how the workspace agent lets Copilot access current workspace contents, reading folders and file contents without opening files, and learn how token limits shape iterative analysis of a project.
Discover how the workspace agent analyzes an unfamiliar repo's structure to provide context for running and modifying a full stack app.
Master practical git tips for daily workflows, from commits and pull requests to IDE reviews, with Copilot aiding commit messages and promoting parameterized queries for security.
Build a web tic tac toe game with Vue.js using Copilot prompts, creating a 3x3 board occupying 60% screen height, with board and square components, game logic, and reset.
Nowadays the ability to leverage AI in programming isn't just an advantage—it's a necessity. "Mastering AI Assistants for Programming" is designed to catapult your coding skills into the future, transforming the way you interact with code on a daily basis. This course isn't just about learning; it's about revolutionizing how you think about and solve programming challenges.
Through this comprehensive guide, you'll embark on a journey to master the use of cutting-edge AI assistants like ChatGPT, Google Gemini, and GitHub Copilot. These aren't just tools; they're your collaborators in coding, ready to elevate your programming prowess beyond the conventional boundaries.
Here's a glimpse of what you'll learn:
Code Generation Mastery: Discover how to generate efficient, clean code that aligns with best practices, all with the help of AI. Gone are the days of staring blankly at your screen; let AI jumpstart your coding process.
Automatic Documentation: Learn the art of instantly documenting your code, making it understandable and maintainable for future you and your team, courtesy of AI insights.
Refactoring and Restructuring: Elevate your code's quality, performance, and readability by mastering AI-driven refactoring and restructuring techniques. Transform good code into great code with ease.
Issue Detection and Resolution: Equip yourself with AI-driven strategies to identify and fix bugs faster than ever. Say goodbye to tedious debug sessions and hello to a smoother development flow.
Code Optimization: Learn how to use AI to optimize your code for maximum efficiency and performance, ensuring your applications run smoothly and swiftly.
AI-Assisted Code Reviews: Revolutionize your code review process with AI, enhancing code quality, team collaboration, and project outcomes.
Navigating Unknown Codebases: Master the skill of quickly getting around unfamiliar codebases with AI assistance, making you a versatile and adaptable developer.
By the end of this course, you'll not only outperform your peers in coding efficiency and quality but also position yourself as a highly competitive developer in the job market. You'll be doing more, faster, and with fewer errors, truly setting a new standard for what it means to be a programmer in the AI era.
Embark on this transformative journey today and redefine your programming career with "Mastering AI Assistants for Programming"