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[2026] Creating a Developer New Year Fortune Service with AI - AI Does the Development

This is a live coding challenge where you'll complete an 'AI-powered 2026 Developer Fortune Service' in just 2 hours. If you've only written simple code with ChatGPT, now it's time to learn how to develop an 'entire real service' with AI. Using the Claude API + Next.js + Supabase stack, we'll go through the entire process from planning to deployment together with AI, and immediately publish the completed service on the internet. This isn't a theory lecture, but live coding where we write code together in real-time and verify that it actually works.

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dingcodingco님과 함께해요!

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🚀 Former Toss, POSTECH graduate | Current Backend Developer (+8 years)
🎥 YouTuber with 20,000 subscribers | Development content creator
📚 Inflearn Instructor | Over 15,000+ cumulative students
👥 Running a developer career community (8,000+ members)
🧩 Contributor to various open-source projects (Gradle, Spring AI, etc.)
📝 Passed 38 resume screenings and conducted 100+ resume reviews on Kmong (5.0 rating)

I deliver vivid, real-world industry insights in an easy and deductively understandable way.
Tôi truyền tải những thông tin thực tế từ ngành một cách dễ hiểu và có hệ thống.

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💬 Are you having these concerns?

"I tried coding with ChatGPT... but is that all there is?" "People say to use AI, but what exactly am I supposed to build with it?" "I want to be recognized as a developer who uses AI well at my company..." "It would normally take a month to build a fortune-telling app, but is it really possible in 2 hours?"

You're not alone.

Most developers only use AI as "a faster copy-paste tool".

  • Asking it to write a simple function

  • Asking about error messages

  • Getting code explanations

As a result, they reach the conclusion "I tried AI but it wasn't that great?"


🎯 In this live session...

In just 2 hours, I'll show you how to truly utilize AI.

1️⃣ Workflow Engineering (Workflow Design)

"From Planning to Design: Using AI as an Architect"

  • Before: Asking questions in fragmented functional units, resulting in inconsistent code

  • After (System Prompting): Inject the entire project context into the AI.

    • "You are a senior full-stack developer with expertise in infrastructure design."

    • "Based on Next.js (App Router) and Supabase, all infrastructure is automated with Vercel and GitHub Actions."

    • "Before implementing features, finalize the DB schema and API specifications first, then proceed."

  • Result: 10x improvement in development productivity. Enables consistent development based on system architecture rather than simple coding.


2️⃣ Ensuring System Stability (Structured Reliability)

"Transform AI outputs into reliable system data"

  • Problem: AI's free-form responses can cause runtime errors in programs.

  • Solution (Structured Output): Combines AI responses with a strong type system (TypeScript).

    • JSON Schema Enforcement: Configure AI to respond only with defined data structures (schemas), fundamentally preventing data parsing errors.

    • Type-Safe Integration: Match AI-generated data 1:1 with DB schema to ensure stability that won't break even in production environments.

  • Effect: Reduces manual validation steps and builds automated data pipelines.


3️⃣ Infrastructure Automation and Deployment (Infra-as-Code & Deployment)

"Accelerate from Infrastructure Setup to CI/CD Implementation with AI"

  • IaC Implementation: Design Terraform or Vercel Configuration with AI to build identical development and production environments.

  • CI/CD Cycle: Create a GitHub Actions workflow so that the moment you push code, an automated cycle of build → test → deploy happens all at once.

  • Result: Infrastructure capable of serving globally is completed in 5 minutes without complex server configuration.


📊 After Deployment: Data-Driven Sustainable Operations (Monitoring)

Deployment is not the end, but the beginning of a new cycle. Monitor real-time metrics and feed them back into the AI workflow.

  • Vercel Analytics & Speed Insights

    • Monitor user traffic sources and performance bottlenecks in real-time.

  • Supabase Database Health

    • Track DB query performance and API call frequency to optimize infrastructure costs.

  • Claude API Usage Monitoring

    • Analyze LLM call costs and token efficiency to use as a basis for improving prompts.

💡 Real-time Dashboard

  • "Based on current traffic, DB query response time maintained at 0.8 seconds"

  • "User pattern analysis shows API call surge during specific time periods → Infrastructure expansion needed"

  • "LLM response accuracy achieved 99%, cost-performance optimization complete"


⏰ Live Timeline (120 minutes)

Part 1: Handing Over the Project to AI (50 minutes)

00:00 - 00:10 | Intro

  • Preview of the completed fortune-telling service

  • "What fortune will you get?" Live demonstration

00:10 - 00:30 | Project Initialization

  • Next.js 14 project creation (by AI!)

  • Supabase integration (completed in 5 minutes)

  • Tailwind + shadcn/ui setup

00:30 - 00:50 | Building Backend API

  • Claude API Integration

  • Prompt Engineering in Practice


  • Fortune generation logic implementation

00:50 - 01:00 | Break Time

  • Receiving chat questions

  • Try your fortune in advance, everyone


Part 2: Completing a Working Service (70 minutes)

01:00 - 01:25 | Frontend UI

  • Quiz form implementation

  • Streaming UI (typing effect)

  • Fortune result card design

01:25 - 01:45 | Database Integration

  • Supabase Auth (social login)

  • Save fortune result

  • Implement sharing functionality

01:45 - 01:55 | Deployment & Testing

  • Vercel one-click deployment

  • Verify actual service functionality

  • Test together with the audience

01:55 - 02:00 | Wrap-up

  • Code cleanup and summary

  • GitHub repo sharing

  • Q&A

  • AI Utilization (AX), claude, vibe coding


💻 What You'll Learn in This Live Session

AI Utilization (80%)

✅ Complete Mastery of Claude API

  • System Prompt Design

  • Structured Output

  • Streaming Response

  • Cost Optimization (Haiku vs Sonnet)

✅ Practical Prompt Engineering

  • Developer Persona Setup

  • Structuring with XML tags

  • Few-shot Learning

  • Error Handling

Full-stack Development (20%)

✅ Next.js 14 App Router

✅ Supabase (Auth + Database + Storage)

✅ Tailwind CSS + shadcn/ui

✅ Vercel Deployment


🎁 Live Participation Benefits

What You Get Immediately

Full completed code revealed

  • GitHub Repository

  • All source code including comments

  • Immediately applicable at work



EVENT 🎉

Exclusive for live participants!

"The 10x AI-Native Developer" Course 40% Discount Coupon

Take 4 weeks to deepen your learning of the patterns from this live session and become recognized as an AI expert at your company.

🚀 Finally

2026 will be the year when "developers who use AI" and "developers who don't" become starkly divided.

It will be a turning point that transforms your development approach.

With a 2-hour investment, take away AI development patterns you'll use for a lifetime.

Let's prepare for 2026 together!!

12월

27일

챌린지 시작일

2025년 12월 27일 PM 03:00

챌린지 종료일

2025년 12월 28일 PM 02:30

챌린지에서 배워요

  • Complete a fully operational '2026 Developer Fortune Service'

  • The practical sense of AI Prompt Engineering to "precisely instruct" AI

Recommended for
these people

Who is this course right for?

  • "I tried AI and it wasn't that great?" - The skeptical developer

  • Lead developer who wants to introduce AI at their company

  • Developer preparing for employment/job change

Need to know before starting?

  • Basic Git usage experience

  • Basic Terminal Commands

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          It's great that I can learn more deeply about how to utilize AI.

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