Vibe Coding Pioneer & AI-Driven Development Expert

• Location: Seoul, Korea
• Email: dohyun@roboco.io
• Blog: roboco.io/posts, moreagile.net
• LinkedIn: @serithemage
• GitHub: @serithemage

Pioneer of Vibe Coding methodology and founder of Roboco.io, leading the transformation of software development through AI collaboration. With over a decade of experience spanning AWS, cloud architecture, and DevOps, I now focus on helping organizations adopt AI-driven development practices that dramatically enhance productivity and innovation. Author of Hands-On Vibe Coding (Hanbit Media, 2025).

As one of Korea's foremost Vibe Coding experts, I provide strategic consulting, hands-on training, and create open-source tools that empower developers to collaborate effectively with AI. My work spans building cost-optimized serverless AI infrastructure (Serverless OpenClaw, ⭐183), Claude Code plugin ecosystems, document processing tools (hwp2md, ⭐105), and AI research pipelines. I also develop Git-based multi-LLM engineering intelligence services for developer performance analysis, build workshop platforms for scalable training delivery, and pioneer the Challenge Driven Learning (CDL) methodology for hands-on AI education. I actively contribute to the community through enterprise workshops, conference presentations (AWS Unicorn Day 2026), and open-source projects with rapidly growing adoption.

• Pioneer and thought leader in Vibe Coding methodology - transforming software development through human-AI collaboration
• Published Hands-On Vibe Coding (Hanbit Media, 2025), the definitive Korean-language guide to Vibe Coding
• Created comprehensive educational framework including Challenge Driven Learning (CDL) methodology, workshop platforms, and real-world demonstrations
• Built production-grade open-source tools and libraries demonstrating Vibe Coding principles across multiple technology stacks
• Published curated resources (awesome-vibecoding, ⭐160) serving as the definitive guide for AI-driven development
• Active community builder through workshops, conferences (AWS Unicorn Day 2026), and training programs helping organizations adopt AI development practices

• Expertise in designing and implementing AI-driven development workflows that enhance productivity and code quality
• Built cost-optimized serverless AI infrastructure (Serverless OpenClaw, ⭐183) running AI agents on AWS at ~$1/month
• Developing Git-based multi-LLM engineering intelligence for developer performance analysis and team productivity insights
• Experience building AI-powered development tools (Claude Code plugins, MCP servers, Solar Code CLI, automation frameworks)
• Developed AI research pipelines (serverless-autoresearch) for parallel model evolution on SageMaker Spot Training
• Contributed to AI development methodology through Korean translation and Claude Code integration of AI-DLC (AI-Driven Development Lifecycle) framework

• Led multiple cloud migration projects for major enterprises such as ANA, NRI, and Oryx as architect and PM
• Leveraged extensive experience as an AWS Technical Trainer to mitigate common migration pitfalls and optimize cloud strategies
• Skilled in risk management, infrastructure design, and microservice migration planning

• Proven capability in managing complex IT projects with a strong emphasis on client trust and expectation management
• Successfully managed cross-cultural IT consulting engagements in Korea and Japan
• Demonstrated leadership in managing technical teams and stakeholders, delivering high-value projects consistently on schedule

• Early adopter and passionate advocate of CI/CD, DevOps, and Agile methodologies
• Successfully implemented automated code reviews and streamlined development workflows using GenAI technologies, significantly improving team efficiency
• Built developer productivity tools such as hwp2md (⭐105, HWP→Markdown converter), buildcop (test failure analysis), and Claude Code plugins

• Claude Code — Plugin ecosystem development (plugins, aidlc-cc-plugin), Skills/Commands/Agents/Hooks
• Multi-LLM Orchestration — Developer analysis and agent pipeline design using Claude, GPT, Gemini and other models
• MCP (Model Context Protocol) — AI agent integration server development (botmadang-mcp ⭐3)
• Upstage Solar Pro2 — Code assistant CLI development (solar-code ⭐13)
• Cursor, Windsurf and other AI coding tools — hands-on enterprise workshop training

• TypeScript — Serverless AI agents (serverless-openclaw ⭐183), code assistants, demo apps
• Go — Document conversion tools (hwp2md ⭐105), GitHub automation CLI (ghx-cli ⭐5), test analysis (buildcop)
• Python — AI research pipelines (serverless-autoresearch ⭐15), S3 benchmark experiments (s3-experiments ⭐8), MCP servers
• Java 21 — Spring Boot 3 backend API (realworld-java21-springboot3)

• Lambda + API Gateway + DynamoDB — OpenClaw AI agent (~$1/month operational cost)
• SageMaker Spot Training (H100) — autoresearch parallel evolution pipeline (10x performance improvement)
• S3 — Benchmark validation for KV Store, Event Store, RDBMS alternatives
• ECS/Fargate, CDK, StepFunctions — Container orchestration and IaC
• CloudWatch, CodeBuild, CodeDeploy — CI/CD and operations

• React 19, Svelte — Vibe Coding demos and production projects
• Telegram Bot API, Web UI — AI agent interfaces

• DynamoDB, MySQL(Aurora), PostgreSQL, Redshift, Neo4J — Optimal database selection per project
• Docker, Makefile-based builds — Standardized development environment across all projects

• Lead Vibe Coding adoption across organizations through strategic consulting, hands-on training, and customized implementation roadmaps
• Create and maintain open-source tools demonstrating Vibe Coding principles — Serverless OpenClaw (⭐183), hwp2md (⭐105), awesome-vibecoding (⭐160)
• Build serverless AI infrastructure achieving ~$1/month operational cost for AI agent workloads (Serverless OpenClaw, ⭐183); presented at AWS Unicorn Day 2026
• Develop Git-based engineering intelligence services using multi-LLM orchestration for developer performance analysis
• Pioneer Challenge Driven Learning (CDL) methodology and build workshop platforms for scalable AI education delivery
• Deliver enterprise workshops for organizations including DirectCloud Club, Hanbit Media, and T-Times Conference
• Develop innovative development tools like Claude Code plugins, MCP servers (botmadang-mcp), Solar Code CLI, and testing tools (buildcop)
• Translate and localize key AI methodologies such as AI-DLC (AI-Driven Development Lifecycle) for the Korean developer community

• Managed Amazon Korea's first development team as Acting Manager, optimizing team workflows and customer-centric development
• Led the development and optimization of AWS Skillbuilder using DDD and serverless architecture, significantly improving user experience

• Delivered extensive AWS training in cloud architecture, security, DevOps, ML, and serverless solutions

• Improved development processes and executed successful cloud migrations with DevOps pipelines

• Successfully delivered Orix and ANA cloud migration projects by introducing agile methodologies and automated CI/CD

AI-powered CLI tool built on Upstage's Solar Pro2 model for intelligent codebase interaction. Features native Korean and English support, advanced code analysis, and extensible MCP integration. Enables developers to query, edit, and analyze codebases through natural conversation.

Comprehensive curated resource collection for Vibe Coding - the definitive guide for AI-driven development. Includes best practices, tools, learning paths, and community resources.

AI-Driven Development Lifecycle (AI-DLC) methodology Korean translation. Comprehensive framework for integrating AI into the software development lifecycle.

AI-DLC (AI-Driven Development Life Cycle) Claude Code plugin. Adaptive workflow steering rules that integrate AI-DLC methodology directly into AI coding agents. See also aidlc-workflows for the underlying workflow rules.

AI-native development scaffolding system for vibe coding with Claude Code. Generates project structures optimized for AI-driven development workflows with pre-configured CLAUDE.md, agents, and best-practice templates.

CLI tool that assesses and prepares codebases for Vibe Coding adoption. Analyzes project structure, configuration, and documentation readiness for AI-assisted development.

Official Vibe Coding standard guide establishing best practices, conventions, and recommendations for AI-driven development. Provides comprehensive guidelines for effective human-AI collaboration in software development.

A curated list of discounted and free programs for student developers. Comprehensive collection of resources to help students get started with software development.

Complete learning ecosystem with 7 repositories including:

• handson-vibecoding-demo - Interactive TypeScript demonstration project
• ToDoList - Learning project for Vibe Coding fundamentals
• TicTacToe - First Vibe Coding project showcasing AI collaboration
• realworld-vibe-coding - Production-grade application example
• vibe-coding-calc-demo - Calculator demo for hands-on learning
• hands-on-vibecoding-slides - Comprehensive teaching materials

Advanced projects demonstrating enterprise development patterns:

• Realworld-serverless-microservice - Migrating real-world apps to serverless microservices
• Realworld-build-from-prd - Building applications from product requirements documents

• vibe-coding-workshop - Workshop materials for introducing Vibe Coding
• vibe-coding-toolkit ⭐ 2 - Toolkit supporting Vibe Coding workflows
• ttimes-vibecoding-conference ⭐ 18 - Live demo Todo app for Vibe Coding workshops
• vibecoding-demo ⭐ 34 - TypeScript demonstration project for Vibe Coding fundamentals
• handson-vibecoding-demo ⭐ 8 - Interactive hands-on Vibe Coding learning project

• realworld-java21-springboot3 - Modern Java backend API implementation
• conduit-flask - Blog platform with Python/Flask and Couchbase
• windsurf-todo-demo - 30-minute live coding demonstration app
• realworld-front - Frontend for Conduit platform

• s3-experiments ⭐ 8 - What else can S3 do? Exploring S3 as KV Store, Event Store, RDBMS, and more — with benchmarks and honest tradeoffs
• serverless-realworld-monorepo - Monorepo for serverless implementations
• realworld-backend-serverless-microservice - Monolithic to serverless migration

• ghx-cli ⭐ 5 - Enhanced CLI for GitHub Projects automation and workflow management
• claude-skills - Claude Code skills collection for code review, API design, test generation, and Korean documentation
• hwp2md ⭐ 105 - Tool for converting HWP (Hancom Word Processor) documents to Markdown
• botmadang-mcp ⭐ 3 - MCP server for Botmadang, enabling AI agents to interact with Korean social platform
• plugins ⭐ 3 - Claude Code plugin collection - Skills, Commands, Agents, Hooks
• vmux - Agent-Friendly Terminal Extension for VS Code, enabling AI agents to interact with terminal sessions
• buildcop ⭐ 1 - CLI tool to find broken culprit for large test suites
• data-analysis-demo - Stock market analysis with AI workflows

• serverless-autoresearch ⭐ 15 - Parallel evolution pipeline for Karpathy's autoresearch on SageMaker Spot Training (H100). 10x faster with HUGI pattern
• topology-efficient-deep-learning ⭐ 2 - Experiments validating deep learning efficiency using topology/structural mathematics (TDA, tensor decomposition)
• korea-ai-foundation-model-verification ⭐ 47 - Verification project for Korean government's AI foundation models from 5 institutions (Upstage, NAVER, SKT, NC, LG)
• KSAT-AI-Benchmark - AI benchmarking project for Korean SAT tests
• qunova-protein-analyzer - Protein structure analysis tool

Run OpenClaw AI agent on-demand on AWS serverless infrastructure with Web UI and Telegram interfaces. Cost-optimized architecture targeting ~$1/month, presented at AWS Unicorn Day 2026.

RealWorld (Conduit) implementation - Medium.com clone with React 19 + Express demonstrating Claude Code integration patterns and AI-driven development workflows.

CLI tool for Upstage Document Parse API, enabling efficient document parsing and processing through command-line interface.

Curated list of discounted and free programs, tools, and resources available to student developers.

Python solutions for 2017 Korean College Scholastic Ability Test mathematics problems, demonstrating computational problem-solving approaches.

Unofficial study guide for AWS Certified Solutions Architect - Associate exam. One of the most popular Korean-language AWS certification resources with comprehensive coverage of exam topics and practical insights.

Repository of AWS training materials and resources accumulated from years of experience as AWS Technical Trainer, covering various AWS services and best practices.

Collection of AWS AI/ML learning resources including Jupyter notebooks, tutorials, and hands-on examples for AWS AI services like SageMaker, Comprehend, and Rekognition.

Production-ready CDK implementation achieving sub-10-second autoscaling response for ECS Fargate services. Features high-resolution CloudWatch metrics, RPS-based scaling policies, and comprehensive operational guides. Addresses critical scaling latency issues in containerized workloads.

• Hands-On Vibe Coding - Hanbit Media, 2025
• 14 AWS Architecture Patterns You Can Use Right Away - Hanbit Media, 2020
• Practical AWS Workbook - Hanbit Media, 2017
• I am a Programmer Vol.2 - Hanbit Media, 2017
• I am a Programmer Vol.1 - Hanbit Media, 2016

• InfoQ QCon Tokyo Committee (2014.12 - 2016.4)
• Producer/Host: I am a Programmer Podcast (2015.3 - 2017.9)
• AWS Korea User Group leader (2016.9 - present)

• Yonsei University, B.S. Mathematics and Computer Science