Writing from practice · Korean books
Build, verify, explain.
English title translations are shown below. These links open the Korean editions.
Building Tauri 2 Desktop Apps with AI, from Start to Finish
Original title: AI와 끝까지 완성하는 Tauri 2 데스크톱 앱
AI-assisted desktop development: requirements, implementation, verification, and release.
WikiDocs · Free selected chapters ↗AI Built the Trading System. Who Checks It?
Original title: AI가 만든 자동매매, 검증은 누가 할까?
Reviewing data, backtest accounting, and the assumptions in an AI-assisted Python trading system.
WikiDocs · Free selected chapters ↗Hiring Developers: A Developer’s Perspective
Original title: 개발자를 뽑는 개발자
Practical lessons from reviewing applications and conducting technical interviews.
WikiDocs · Free full text ↗Also available to read on Folio Books ↗.
Current Korean titles and reading links above were reviewed October 7, 2026. Earlier PDF editions and language samples are listed below; chapter counts and titles can differ by edition.
Technical Books · PDF · English First · Korean and Japanese Editions Available
Technical books on
building real systems
with AI and code.
Two practical books from systems I actually built: Tauri 2 / Rust desktop apps and a production-style financial ML/RL trading system in Python.
Vibe Coding
Tauri 2
No Time — So I Built Six Apps Anyway
A hands-on record of building 4 Tauri 2 desktop apps and 2 Rust TUI apps in evening sessions using an AI agent loop. The book focuses on the request, implementation, verification, and iteration patterns that made the work practical.
What's Inside
- → ReadBooks.ai — a Tauri 2 desktop app for PDF translation with Claude API and pdfjs
- → Mandai — a Mandala Chart, GTD, and Pomodoro productivity app
- → Rust TUI dashboards built with Ratatui and Tokio
- → Trading Monitor — a Tauri 2 app for real-time IBKR P&L monitoring
- → Rust backend patterns for command handling and SSE streaming
- → DuckDB local storage and MongoDB integration patterns
Agentic Quant
Trading with Python
HMM Regime Detection · SAC / QR-DQN · Statistical Arbitrage
A production-style financial ML/RL systems book covering research and implementation patterns: HMM regime classification, Kalman spread modeling, SAC and QR-DQN agents, CVaR-aware risk control, FastAPI serving, MLflow tracking, and Rust TUI monitoring.
What's Inside
- → HMM regime detection and strategy routing
- → SAC reinforcement learning for position sizing
- → QR-DQN quantiles, CVaR-style tail risk, and exposure control
- → DuckDB feature store and Optuna hyperparameter search
- → FastAPI, MongoDB / Beanie, Redis, and MLflow-style serving patterns
- → IBKR integration concepts and Rust TUI monitoring architecture
Choose & Buy
Choose the English, Korean, or Japanese edition and complete checkout through Gumroad.
Instant Download
The PDF download link is delivered immediately after purchase.
Lifetime Updates
When the book is updated, you can access the latest version from the same product page.
Author
Ted Park
Senior software engineer focused on production ML systems, financial time-series engineering, and AI-assisted software development. I build the systems behind these books myself: Tauri 2 / Rust desktop apps, Python trading infrastructure, HMM regime detection, RL experiments, FastAPI model serving, and public technical writing around what actually works.