A comprehensive exploration of Anthropic's Model Context Protocol (MCP), the 'USB-C for AI' that standardizes integration between LLM agents and external tools. Covers technical mechanisms, implementation methods, and industry trends accelerated by OpenAI's participation.

A comprehensive guide to GitHub Copilot Agent Mode in VS Code - covering features, pricing, setup methods, and comparison with other tools. Learn practical strategies to leverage this AI-powered development assistant and explore the future of human-AI collaborative programming.

Explore the revolutionary 'Boomerang Mode' feature in Roo Code and its impact on AI collaborative development. This guide explains how automatic task division and execution management liberates developers from the hidden burden of creating prompts for AI, with practical implementation details.

A comprehensive exploration of multilingual implementation using Next.js App Router. From strategic URL design to complete directory restructuring and language detection, discover the key decisions and implementation approaches that drive successful global content strategies.

A comprehensive guide to MDX implementation with Next.js App Router, detailing optimal patterns for integrating Shiki, Mermaid.js, and KaTeX. Learn practical approaches to bridge the gap between ideal architecture and real-world constraints.

A comprehensive record of the decision-making process and strategic approach from conception to implementation of a Next.js blog site beyond simple prompts. This guide shares practical knowledge gained from trial and error in design realization and content planning through ChatGPT collaboration, providing guidelines for effective AI collaborative development.

A comprehensive guide to designing and implementing knowledge graphs that express relationships beyond numerical evaluations. Learn practical methods for structuring complex knowledge for LLM-powered applications, with insights gained from developing an investment interview system.

The essential guide to context sharing in AI collaborative development and the practical evolution of Memory Bank technology. Explore how knowledge structuring and abstraction improve efficiency when developing with AIs that reset their memory with each task.

A practical guide to implementing the test trophy strategy in AI collaborative development. Learn why traditional test pyramid approaches can be counterproductive for prototypes, and discover a new approach to test design optimized for the AI era.

A comprehensive guide to probabilistic parameter modeling using Bayesian updates and question generation strategies based on information gain. Learn how to improve LLM-based decision-making quality by explicitly handling uncertainty in your AI applications.

How the 15-minute-per-task development cycle in AI collaboration changes testing tool selection criteria. Based on real-world experience with Jest, RTL, and Playwright, this guide explains the importance of relative execution time and review efficiency in modern frontend testing.

The birth of my long-awaited son coincided with starting Vibe Coding with ChatGPT and Claude, opening new possibilities to fulfill both parenting and professional roles. This reflection explores how AI-human collaboration can overcome the 'parenting versus career' tradeoff, enhancing the quality of both aspects of life.