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Don't think just do
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Don't think just do
  • Konkuk University
  • moojin0830@gmail.com
  • 06:21 (UTC +09:00)

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frotrue/README.md

Frotrue

I build games, computer vision apps, and developer tools.
Software engineering student, exploring the path from an idea to a working product.

Steam release · corectl   /   2025 경기창고 · 우수상

Selected work · How I build · All repositories

Inquiries · frotrue.dev@gmail.com

Selected work

corectl

Released on Steam · August 2026

A 2D roguelite tower defense game built around route design, building loadouts, and upgrade synergies. Developed and published under Frotrue.

corectl gameplay screenshot from the Steam store

Phaser TypeScript CEF / D3D11
View on Steam →

Smart Crack Detection

Award-winning prototype · 2025 경기창고 AI Hackathon, 우수상

Building-damage detection with YOLOv8 segmentation and a PyQt6 desktop interface. The broader competition project combined AI software with Raspberry Pi / NPU hardware and a custom 3D-printed enclosure.

Smart Crack Detection desktop application preview

Python YOLOv8 OpenCV PyQt6
Explore the project →

AI2D Runtime

Experimental runtime · C++23 / SDL3 / Vulkan

A focused runtime for declarative, AI-authored 2D games. JSON game specifications compile into validated execution plans, with deterministic simulation, instanced rendering, and repeatable validation.

C++23 SDL3 Vulkan
Source → · Architecture →

Nightwatch Array

In development · PC browser playtest

A short incremental game about observing the night sky and growing an observatory. Constellation research, new celestial objects, and observation upgrades shape its progression.

Godot GDScript
Play in your browser → · Source →

More projects — desktop tools, game extensions, and experiments
  • LectureScribe — Local lecture transcription, with optional note summarization. Python / faster-whisper / PyQt6.
  • ETS2 Lane Guide — An experimental in-game navigation, lane, and traffic-signal HUD. C++ / DX11.
  • Road Hazard Segmentation — Segmentation of road cracks, potholes, and sinkholes. Python / YOLOv8.
  • Gradium — A factory-building tower defense project. Phaser / TypeScript.

How I build

I use AI coding assistants, primarily Codex, throughout development. My focus is on defining the behavior, reviewing the result, and checking it against tests and real use.

  • Define the system. Keep requirements, constraints, and architecture decisions explicit.
  • Verify the implementation. Use regression tests, reproducible scenarios, and performance measurements.
  • Refine the experience. Iterate on controls, interfaces, and progression through playtesting and everyday use.

Examples: AI2D architecture and constraints · Nightwatch economy simulator

Tools I work with

Languages · Python, TypeScript / JavaScript, C++, GDScript
Computer vision & desktop · YOLOv8, PyTorch, OpenCV, PyQt6
Games & graphics · Godot, Phaser, SDL3, Vulkan, DirectX 11

Activity & learning — GitHub, algorithms, and AI usage

GitHub

Frotrue's GitHub activity stats

Languages across Frotrue's repositories

Algorithms

Solved.ac profile

AI coding assistant usage

Tracked with Tokscale.

Tokscale usage stats

Pinned Loading

  1. ets2-lane-guide ets2-lane-guide Public

    ETS2 in-game navigation arrows, lane guidance and traffic signal HUD for Windows DX11

    C++

  2. smart_crack_detection smart_crack_detection Public

    Detect cracks and spalling in the building

    Python

  3. yolov8_seg_CodeAndDatasets yolov8_seg_CodeAndDatasets Public

    dukyoung_hs ai project

    Python

  4. LectureScribe LectureScribe Public

    Python 2