Practical AI Coding: High-Impact Tips for Real Work
Session Overview
“Vibe Coding” tools are exploding onto the scene and deliver great results in green-field projects—but real-world teams often face years of legacy code and complex domains. This talk shares practical principles and field-tested tips for applying Vibe Coding beyond demos.
- Understand the core tech behind Vibe Coding—LLMs, embeddings, and context-window methods.
- Tactics to best leverage each capability in practice.
- How to apply Vibe Coding in large, legacy codebases.
- Real examples of using Vibe Coding tools not only for development, but also across everyday business workflows.
Speaker
One of Korea’s first-generation data scientists, Yongho led machine-learning initiatives at Tmax, KT alpha, and SK Telecom’s Big Data Center. He founded the ML startup Numberworks (later acquired by Kakao) and drove data-driven optimization across Kakao’s business units. He then served as CDO at Dable, helping lead multiple successful exits. Today he heads DataOven while advising companies on AI transformation, and also serves on Korea’s Presidential Committee on AI.