Jongmin Lee

Apr 18, 2026

A Few Months Into Team-Wide AI: What I'm Still Figuring Out

A few months into team-wide AI use, here are the patterns I'm seeing — and the question that keeps coming back about what should stay consistent across the team.

AI Claude Code Software Engineering

Feb 14, 2026

How AI Changed My Development Workflow After Switching Jobs

Moving from a Copilot-only environment to a team that actively uses Claude Code — what changed and what I'm still figuring out

Software Engineering AI

Feb 14, 2026

Understanding How Claude Code Works Under the Hood

A walkthrough of Claude Code's execution lifecycle — from the moment you type a prompt to the final response

Software Engineering AI Claude Code

Feb 10, 2026

Building a Windows Installer for Offline Field Deployment

How I introduced a WiX-based Windows installer for deploying field software to air-gapped environments, and the unexpected challenges along the way.

Software Engineering .NET Best Practices

Jan 22, 2026

Clean Architecture Part 6: Details and Case Study

Why databases, web, and frameworks are details, not architecture. Includes a complete video sales case study and the missing chapter on package structure.

Clean Architecture Software Engineering Best Practices +2

Jan 18, 2026

Clean Architecture Part 5: Architecture Implementation

Practical implementation of clean architecture covering presenters, humble objects, partial boundaries, the main component, services, testing, and embedded systems.

Clean Architecture Software Engineering Best Practices +2

Jan 14, 2026

Clean Architecture Part 4: Architecture Design

Core concepts of clean architecture including independence, boundaries, business rules, and the famous Clean Architecture diagram. Learn how to design systems that are testable, flexible, and independent of frameworks.

Clean Architecture Software Engineering Best Practices +2

Jan 10, 2026

Clean Architecture Part 3: Component Principles

Principles for organizing code into components. Covers component cohesion (REP, CCP, CRP) and component coupling (ADP, SDP, SAP) for building modular systems.

Clean Architecture Software Engineering Best Practices +2

Jan 6, 2026

Clean Architecture Part 2: SOLID Principles

The five SOLID principles of object-oriented design explained in depth. SRP, OCP, LSP, ISP, and DIP form the foundation of clean architecture.

Clean Architecture Software Engineering Best Practices +3

Jan 2, 2026

Clean Architecture Part 1: Design and Programming Paradigms

Introduction to software architecture from Robert C. Martin's Clean Architecture. Covers the definition of architecture, the value of good design, and the three programming paradigms.

Clean Architecture Software Engineering Best Practices +2

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A Few Months Into Team-Wide AI: What I'm Still Figuring Out

How AI Changed My Development Workflow After Switching Jobs

Understanding How Claude Code Works Under the Hood

Building a Windows Installer for Offline Field Deployment

Clean Architecture Part 6: Details and Case Study

Clean Architecture Part 5: Architecture Implementation

Clean Architecture Part 4: Architecture Design

Clean Architecture Part 3: Component Principles

Clean Architecture Part 2: SOLID Principles

Clean Architecture Part 1: Design and Programming Paradigms

Clean Code Part 4: Concurrency and Refactoring

Clean Code Part 3: Testing and Class Design

Clean Code Part 2: Structure and Formatting

SDP: Software Development Process - OMSCS 2025 Fall

Clean Code Part 1: The Fundamentals

AI4R: Artificial Intelligence for Robotics - OMSCS 2025 Spring

ML4T: Machine Learning for Trading - OMSCS 2024 Fall

Unsupervised Learning: K-means Clustering and Anomaly Detection

Decision Trees and Ensembles: From Splits to Random Forests and XGBoost

Practical Advice for Applying Machine Learning

Training Neural Networks: Activation Functions, Backpropagation, and TensorFlow Implementation

Understanding Neural Networks: From Biology to TensorFlow

Logistic Regression: From Sigmoid to Regularization

Regression with Multiple Input Variables

Introduction to Machine Learning