Embarking on an Exciting Journey to Master Node.js with a Copilot Agent

From tomorrow, I'm diving into learning Node.js with my copilot agent. Let's see how long it takes for me to build my own web chatbot with the same functionality as my current Telegram bot (written in Python). Stay tuned—I'll be sharing my progress along the way!

Here's how I kicked off with my copilot agent: I provided a prompt outlining my goals, experience, and the structure I envisioned for our learning journey. Below is my initial prompt and the response from the copilot agent.

User Prompt

I would like to learn Node.js. I taught myself Python three years ago and built several Telegram bots and small scripts, so I understand how programming languages work; however, I am a novice in Node.js. My goal is to transform my Telegram AI bot into a webpage, making Node.js essential and an exciting challenge. I'm grateful to have you as my dedicated coach.

Here’s how I would like to structure our learning:

1. Primary Goal: Coach me in Node.js until I master the ChatGPT-Next-Web project.
2. Learning Resource: Use the ChatGPT-Next-Web project as our main reference, like a textbook.
3. Comparative Teaching: Compare Node.js to Python, since I already have experience in Python.
4. Focus on Key Files: Each session will focus on a major source code file from the ChatGPT-Next-Web project. We'll dive deep into each file before moving to the next.
5. Application Focus: Emphasize the main files; use supporting files for supplementary learning when necessary.

Please start by using shell commands to display a file tree of the project, and then plan our course based on the major files. Once you’re ready, let’s begin our first class.

Copilot Agent's Response

The ls command has successfully listed the contents of the ChatGPT-Next-Web directory. Here's what it suggested for planning the Node.js learning course:

Directory Structure Overview

• Core Directories:
  • app/: Contains application components and pages.
  • public/: Holds static assets like images and the favicon.
  • scripts/: May contain script files for builds or automation.
  • src-tauri/: Holds Tauri integration code (if applicable).
  • docker-compose.yml: Configuration for Docker container orchestration.
  • next.config.mjs: Configuration for the Next.js application.
• Key Files:
  • README.md: Essential project information, setup instructions, etc.
  • package.json: Metadata and dependencies.
  • LICENSE: Project licensing info.

Course Structure

Here's the planned course outline:

1. Introduction to Node.js and Project Setup
   • Review README.md and project basics.
2. Exploring Project Structure
   • Overview of app, public, scripts.
   • Learn dependency management with package.json.
3. Next.js Configuration
   • Understanding next.config.mjs.
4. Building Core Application Logic
   • Dissecting files in app/ to understand component rendering.
5. State Management via Store
   • Learn state handling in the application.
6. Building API Routes
   • Structuring and connecting routes for handling requests.
7. Final Touches and Deployment
   • Review and deploy using docker-compose.yml.

Next Steps

• Start with README.md and package.json to understand the project dependencies.
• We'll have our first lesson on basic Node.js concepts applied to ChatGPT-Next-Web.

If you want to join my journey or have any suggestions, feel free to comment! Looking forward to the adventure ahead.