Clean Coding: Techniques for Writing Good Code Made Easy with Cooking Analogies

We introduce basic prompt patterns for coding and advanced API prompt patterns for leveraging artificial intelligence.

[The 2nd edition is scheduled for completion in 2026] You can develop your programming skills while exploring the fundamental principles of Large Language Models (LLMs) such as ChatGPT and Claude in depth. You can learn a variety of information and development techniques that are often difficult to come by.

Without a single formula or line of code, this penetrates the essence of basic statistics necessary for AI development and application.

[The 2nd edition is scheduled for completion in April 2026] This helps junior developers understand the entire development process, from planning to code writing, deployment, and verification, by using artificial intelligence as a development tool.

It covers a wide range of topics, from prompt engineering theory and practical techniques to the latest application cases and security/ethical issues, providing practical assistance to LLM-based service developers, data scientists, and AI planners alike.

It helps train the "constructive thinking" needed to frame problems.

We present ways to improve RAG performance based on Cognitive Load Theory. To overcome the limitations of existing RAG enhancement techniques, we synthesize various methods by applying the conceptual framework of cognitive load.

[Scheduled for completion of the 2nd edition in 2026] You can learn the 'service design' concepts and methods required when planning applications or web services based on LLM, a type of Generative Artificial Intelligence (Generative AI).

"I only changed a name, but the code has transformed." I have summarized the core of readable code, 'naming that reads well,' from principles to examples. Easy-to-read names are the beginning of collaboration.

[2nd Edition scheduled for completion in 2026] This course is designed to be understood even if you have no prior knowledge of Secure Coding. It covers basic secure coding concepts first, followed by a focus on web service security. This lecture was originally conducted as a special seminar hosted by OO University. With over 160 source codes provided alongside rich commentary, it pinpoints core topics and techniques that can be applied immediately in practical work.

[2nd edition scheduled for completion in May 2026] You can quickly understand the basic concepts and syntax of the C language.

[Scheduled for completion of the 2nd edition in 2026] This book provides detailed explanations of various language models developed throughout the process, starting from the beginnings of natural language processing technology to the latest LLM models.

[2nd edition scheduled for completion in 2026] We explore how to create an AI judge by combining various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology, along with knowledge graphs and reasoning systems.

[2nd Edition scheduled for completion in 2026] We will look at how to collect and analyze user requirements for planning LLM services.

[Scheduled for completion of the 2nd edition in 2026] Explores the limitations of LLMs, the latest technologies to overcome them, and projected future technologies.

[Scheduled for completion of the 2nd edition in 2026] We will explore the types of applications and web services that can be built using LLMs.

[Scheduled for completion of the 2nd edition in 2026] Explains why LLM is necessary, the technical background, and basic concepts for LLM planners and LLM application planning managers.

Software quality is a habit! This course will teach you how to become the best programmer that companies want.

We provide CodeTree past exam questions along with algorithms and tips for solving them. Although C++ is used, the course is accessible to those using other languages as it does not rely on libraries. (Python code is provided)

This is a recorded video of the TDD online live meetup held in July 2025.

A star instructor in IT development, artificial intelligence, and IT strategic planning provides an easy, detailed, and accurate explanation of the Python programming language.

When learning Swift, the iOS programming language, it can be confusing when multiple concepts appear all at once. That's why I created this course with the principle that "when understanding a new concept, only previously learned concepts should be used." So this course is meticulously designed with a sequential structure between concepts, where only one new concept appears at each stage, and no other unfamiliar concepts appear at all. One concept per minute, 180 concepts total. From the basics of variables and constants to understanding memory structure from a CS perspective, and even the latest syntax for asynchronous processing. In 3 hours, you'll learn 180 core concepts in the designed order.

Algorithm Skill Enhancement Pattern Learning with Baekjoon Bronze 1·2 Difficulty Problems

This is a basic Kotlin syntax course. It is designed for those who want to develop Android apps using the Kotlin language, and you can enjoy learning Kotlin syntax thoroughly from the basics.

Refactoring is one of the basic skills that a software engineer should have. This course is designed to explain and practice various code smells and refactoring techniques in a more practical way using IntelliJ and Java.

This course summarizes the essential concepts you must know before learning any programming language. Furthermore, by practicing with a dedicated training system, anyone can easily acquire the critical thinking skills necessary for programming.

Baekjoon Bronze 4·5 Difficulty Algorithm Beginner Roadmap Starting with 3-4 Problems Daily

We will refactor a web application built with Java + Spring Boot to Kotlin + Spring Boot and implement additional requirements. In the process, we will use Junit5, SQL, JPA, and Querydsl, and cover the pros and cons of various methods from the design and implementation perspectives.

When learning Swift, the iOS programming language, it can be confusing when multiple concepts appear all at once. That's why I created this course with the principle that "when understanding a new concept, only previously learned concepts should be used." So this course is meticulously designed with a sequential structure between concepts, where only one new concept appears at each stage, and no other unfamiliar concepts appear at all. One concept per minute, 180 concepts total. From the basics of variables and constants to understanding memory structure from a CS perspective, and even the latest syntax for asynchronous processing. In 3 hours, you'll learn 180 core concepts in the designed order.

During our school days, the 'click' sound we heard in the computer lab... that was Minesweeper. In this course, we'll recreate those memories by implementing it with Python. Whether you're a beginner or even someone encountering Python for the first time, by following along line by line, you'll find that your very own Minesweeper game has been completed before you know it.