AI-Based Full-Stack Development Practical Track for Beginners (Junior Level) - Master in One Day

📋Understanding AI-Based Full-Stack Development in One Day: Practical Track (For Juniors)

"From generating code with Copilot to deploying on Vercel — A practical track you can understand in just one day!"

Junior developers will experience a complete cycle from prototype creation → code writing → deployment → validation by immediately applying AI assistance tools in practical work, while also developing habits for testing, security, and ethics. Throughout this process, they will learn everything at once using AI assistance tools like Copilot and ChatGPT: rapid prototyping, CRUD skeleton generation, cloud deployment, and validation, security, and ethics checking methods.

📋With AI adoption transforming the development field, the role of developers must change.

Strengthening Full-Stack and AI Convergence Roles.

McKinsey analyzes that "the traditional division of labor model will shift to focus on full-stack engineers (who handle AI, strategy, and development all together)." This includes planning, prototyping, and writing code frameworks.

McKinsey & Company (https://www.mckinsey.com.br/en/capabilities/mckinsey-digital/our-insights/enterprise-technologys-next-chapter-four-gen-ai-shifts-that-will-reshape-business-technology?utm_source=chatgpt.com)

Prompt engineering and agent supervision.

As AI replaces simple coding and testing tasks, developers (especially senior-level or middle managers) are expected to take on supervisory roles such as validating 'Agent' performance, conducting ethics and security checks, reviewing AI output samples, and optimizing AI utilization.

Deloitte (https://www.deloitte.com/us/en/insights/topics/talent/human-capital-trends/2025/future-of-the-middle-manager.html?utm_source=chatgpt.com)

📋Now is the era when full-spectrum developers are needed

As you can see from the previous article, developers now need to go beyond just 'programming' and become developers who encompass AI utilization planning, strategy, and verification capabilities. While this type of developer can be described in various ways, I propose the term 'Full-Spectrum Developer'.

• AI Flagship Engineer

  • Meaning: Emphasizes the role of 'flagship (representative)' leading the entire process of AI planning, development, and operation

    
    

• AI Full-Spectrum Engineer

  • Meaning: Covering the entire 'spectrum' from planning → prototyping → development → validation

    
    

• T-Shaped AI Engineer

  • Meaning: Possessing both deep AI and coding capabilities (vertical axis) and broad strategic and communication competencies (horizontal axis) simultaneously

    
    

• AI-Augmented Developer

  • Meaning: Emphasizes the idea of 'augmenting' one's capabilities through collaboration with AI

    
    

• AI Product Engineer

  • Meaning: Designing the entire AI-based product lifecycle (planning → deployment → monitoring), not just simple code writing

📋Competencies Required for Full-Spectrum Developers

As artificial intelligence has enabled development capabilities, the scope of a developer's competencies has greatly expanded. The skills required for the full-spectrum developers we examined earlier must encompass nearly every aspect of the development process.

• 1. Planning and Strategic Development Capabilities

  • Understanding the value of projects and learning how to integrate AI into organizational strategy

  • Product planning, market analysis, roadmap design, and overall product strategy establishment

• 2. Prototyping, UX, and Design Capabilities

  • Discovering user needs and design thinking for rapid prototyping

  • Wireframe creation, interaction design, user testing methodology

• 3. AI Model Development and Prompt Engineering Capabilities

  • Learn core models from basic deep learning theory to CNN, RNN, and Transformers

  • Techniques for Effectively Designing and Tuning Generative AI and Conversational Agents

• 4. Full-Stack Development Capabilities

  • React·Node.js·Express·MongoDB Web Application Development

  • Microservice design, Docker/Kubernetes deployment, automated pipeline construction

• 5. Deployment, Operations, and MLOps Capabilities

  • Model serving, monitoring, scaling, ensuring reproducibility, and other operational automation

  • AWS-based CI/CD Implementation, Infrastructure as Code

• 6. Validation, Ethics, and Security Capabilities

  • Ethical Design of AI Systems, Data Privacy and Fairness Verification

  • Cloud Security Best Practices, IAM & Network Security Design

All the topics covered here are fields that require considerable knowledge. That's why we've prepared this. We've compressed the essential content that junior programmers must know from these topics so you can broadly understand them in one day and practice them all on your own within two hours. In this course, we organize these six major topics into sections and deliver core knowledge related to each subtopic. Through this, you will be able to enter the world of full-spectrum development.

📋Key Learning Objectives (Expected Outcomes After Completion)

• AI-assisted tools can be used to quickly generate prototypes and CRUD skeletons.

• Copilot/ChatGPT outputs can achieve basic reliability through a 60-90 second verification routine.

• You can understand the basic flow of Docker, Vercel, and GitHub Actions, and perform simple deployments yourself.

• You can apply minimum checks from security, license, and ethical perspectives to code, test, and prompt outputs.

  
  

📋 Prerequisites

• 1. JavaScript Basic Syntax

  • Variables/functions/conditionals/loops, array·object manipulation, basic asynchronous concepts (async/Promise).

  • Validation Method: Able to write simple functions (e.g., array filter/map).

• 2. HTML·CSS (Basics)

  • Basic tag structure, form elements, and simple styling (using classes).

  • Verification method: Create a simple static page.

• 3. Basic Git·GitHub Usage

  • Understanding how to create commits, branches, push/pull, and PRs (simple).

  • Verification method: Create repository → Commit → Push to GitHub.

• 4. Terminal (Command Line) Basics

  • Directory navigation, file creation/deletion, and simple command execution (e.g., node, npm) are possible.

  • Verification method: Run a simple script with node locally.

• 5. HTTP/REST Basic Concepts

  • Understanding the meaning of GET/POST/PUT/DELETE, and requests/responses (status codes, JSON).

  • Verification method: Try a simple API call using curl or a browser.

📋 Recommended Prerequisites (Enhances lecture practice and effectiveness)

• 6. Node.js·npm Usage Experience (Basic)

  • Understanding the flow of npm init, npm install, node app.js.

    
    

• 7. Simple React Basics (Optional)

  • Components, state, and basic event handling concepts (not required but helpful for hands-on practice).

  • Verification Method: Create small components using create-react-app or CodeSandbox.

• 8. Understanding Basic Backend Concepts (Express, etc.) (Optional)

  • The basic roles of routes and middleware (covered in the lecture).

  • Verification method: Run a simple express server locally.

• 9. Basic Testing Concepts

  • The purpose of unit testing, awareness of the existence of testing frameworks (e.g., jest, pytest).

  • Verification method: Run one existing test.

• 10. Environment Variables, .env Concept, and .gitignore Usage Habits

  • Understanding the practice of not putting secrets in code.

  • Verification method: Create a simple .env file and register it in .gitignore.

📋 Prerequisite Knowledge That's Good to Know (Helps with Advanced Topics/Quick Adaptation)

• 11. Docker Basics (Image vs Container) — Enhanced Practice Convenience↑

• 12. Simple CI/CD Concepts (Understanding GitHub Actions Workflows)

• 13. Experience creating cloud deployment accounts (Vercel, etc.) — Easy to follow deployment demos

• 14. Basic Security & Authentication Concepts (Tokens, OAuth, API Keys) — Smooth Verification & Operations

• 15. Experience with AI Tools (ChatGPT, GitHub Copilot, etc.) — Not Required

📋 Recommended 'Immediate Verification' Tasks

Take 1-5 minutes for each item below to check your skills. If you can follow these items, you're ready to take this course. If you find it difficult to follow along, ask an AI like ChatGPT. Then, review the 'Prerequisites Summary' content below.

• JS: Write simple map/filter functions and run with Node (1-3 minutes).

• Git: Modify files locally → Commit → Push to GitHub (3-5 minutes).

• HTTP: Make a curl request to a simple public API (e.g., https://jsonplaceholder.typicode.com/todos/1) (1 minute).

• React (Optional): Run an example in CodeSandbox where text changes on button click (3-5 minutes).

• Node/Express (Optional): npm init → npm i express → run a simple / route (5-10 minutes).

📋Summary of Prerequisites

Target in one line

This guide is designed to quickly help you check the basic environment and concepts (JS basics, Terminal·Git, HTTP, Node/npm) before taking the class. (Total time: approximately 10 minutes)

2) JavaScript Basics (approximately 3 minutes)

• Core Concepts: Understanding variables, functions, arrays/objects, and basic asynchronous programming (Promise/async).

• Try It Now (Code) — Create file test.js:

// test.js
const nums = [1,2,3,4];
const doubled = nums.map(n => n * 2);
console.log(doubled); // [2,4,6,8]

async function foo(){
  return "hello";
}
foo().then(console.log);

• Execution Command:

node test.js

• Verification: If [2,4,6,8] and hello are printed to the console, it's OK.

3) Terminal (Command Line) Basics (About 1 minute)

• Core Commands:

  • Directory navigation/viewing: pwd, ls (or dir on Windows), cd folder_name

  • File creation/deletion: touch file, rm file (Windows: echo > file)

  • Command execution example: node test.js

• [[STRONG_1]]검증[[/STRONG_1]]: [[CODE_2]]pwd[[/CODE_2]]/[[CODE_3]]ls[[/CODE_3]]로 현재위치·파일 보이면 기본 이해 완료.

4) Git & GitHub Basics (approximately 2 minutes)

• Key Concepts: Local Repository → Commit → Push to Remote (GitHub)

• Quick Start (Minimal Flow):

git init
git add .
git commit -m "initial"
# 원격 repo는 GitHub에서 만들고 아래 URL로 교체
git remote add origin https://github.com/USERNAME/REPO.git
git branch -M main
git push -u origin main

• Verification: Success if the file is uploaded to the GitHub repository.

5) HTTP/REST Basics (approximately 1 minute)

• Key Concepts: GET/POST etc., exchanging JSON data, status codes (200/201/400/404 etc.)

• Immediate Testing (Example):

curl https://jsonplaceholder.typicode.com/todos/1

• Verification: OK if JSON format response is output.

6) Node.js + npm (Basic Flow, approximately 2 minutes)

• Key Concepts: Execute JS with node, install packages and manage scripts with npm

• Configuration/Command Examples:

node -v        # Check Node version
npm -v         # Check npm version

# New project
mkdir myapp && cd myapp
npm init -y
npm install express

• Simple Server Implementation (File name: app.js):

const express = require('express');
const app = express();
app.get('/', (req,res) => res.send('Hello Express'));
app.listen(3000, () => console.log('http://localhost:3000'));

• Execution/Verification:

[[CODE_1]]node app.js
# 다른 터미널에서
curl http://localhost:3000   # "Hello Express" 출력 확인
[[/CODE_1]]

• Note: The recommended Node version (e.g., v18) may vary depending on the situation.

7) (Optional) Quick React Experience — Fast Method (About 1 minute)

• Recommended (Web-based): Use CodeSandbox / StackBlitz — No installation required

• Local Start (Optional):

[[CODE_1]]npx create-react-app my-ui   # (시간 소요)
cd my-ui
npm start
[[/CODE_1]]

• Verification: Open http://localhost:3000 in your browser to see the default React screen.

8) Checklist — 1-Minute Pre-Class Check

• Does running node test.js produce results? ✅

• Have you tried committing with git → pushing to GitHub? ✅

• Have you tried calling an external API with a simple curl request? ✅

• (옵션) 로컬 [[CODE_1]]express[[/CODE_1]] 서버에 [[CODE_2]]curl[[/CODE_2]]로 접근해봤나요? ✅

9) Problem-Solving Tips

• command not found → Node/npm/git not installed or PATH issue

• Port conflict (EADDRINUSE) → Another process is using port 3000 → Change the port or terminate the process

• Git push permission issue → GitHub authentication (token) setup required

10) Conclusion

You can skim through the above items in order within 10 minutes, which will be sufficient to follow along with the course exercises.

📋Post-Course Action Checklist (One by One)

• Practice once a day with 'template-based' prompts in Copilot/ChatGPT

• Apply the 60-Second Verification Routine Immediately Upon Receiving Deliverables

• Set up a weekly task to apply .env + gitignore policy to personal repositories and scan for secrets

  
  

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