A 12-post series that teaches anyone — not just developers — how to build real, production-ready AI products using vibe coding techniques. Written by Jaehee Song, author of the AI Development Guide and lecturer at DGIST, Inha University, and universities across Korea.
Read the Series All ToolsStructured learning path from AI fundamentals to deploying production applications. No prior coding experience required — the curriculum meets you exactly where you are.
Learn to build by feeling out the code with AI assistance, not by memorizing syntax. This is the philosophy behind Jaehee Song's lecture series at DGIST and Inha University.
Each post establishes the right mental model before touching tools, so concepts stick. You'll understand why you're doing what you're doing, not just how to copy the steps.
Every post builds toward a real, deployable application — not toy examples that never ship. By the end, you will have built and deployed at least one production AI application.
Posts cover hosting, environment variables, APIs, and cloud deployment so you actually ship what you build. Deployment is not an afterthought — it's taught from post one.
The full 12-post series is freely accessible online for individual learners. No paywall, no email required, no upsell — just the curriculum, written to be genuinely useful.
Search interest in "vibe coding" grew over 600% in 2024. The term, coined by AI researcher Andrej Karpathy, describes a fundamentally new way of building software: using natural language to guide AI through the construction of an application, rather than writing every line of code from scratch. What was once the domain of computer science graduates is becoming accessible to product managers, entrepreneurs, consultants, and anyone with a clear idea of what they want to build.
Most online resources about vibe coding are either too shallow (tweet threads and hype articles) or too deep (academic papers about LLM-assisted programming). The Build with AI series occupies the middle ground: practical, structured, and focused on shipping real things. Each post is written by someone who has shipped 16 production AI applications using these exact techniques — Jaehee Song, Data Platform Architect and AI educator based in Seattle, WA.
What separates Build with AI from other beginner coding resources is the deliberate focus on mental models over syntax. Most coding tutorials fail non-developers not because the code is hard to understand, but because the underlying concepts — what an API is, why environment variables exist, how cloud deployment works — are never explained clearly. Build with AI addresses this directly. Before touching a tool in each post, the author establishes the conceptual framework that makes the tool make sense.
The series is designed for product managers who want to prototype their own ideas, entrepreneurs who want to build AI-powered MVPs without hiring a developer, consultants who want to deliver AI solutions to clients, and university students who want to enter the workforce with practical AI skills. It is the curriculum that powers Jaehee Song's guest lectures at DGIST (Korea's premier science and technology university), Inha University, and Goorm, Korea's leading cloud IDE and education platform.
The 12-post series connects directly to the AI Development Guide book, which provides the theoretical foundation that the Build with AI series translates into practice. Together they form a complete pathway from understanding AI to building with AI to deploying AI — without requiring a computer science degree.