Next.js

Why has a machine learning engineer who primarily used Python shifted to Next.js for web development? This article reconsiders the 'right tool for the right job' principle from an implementation cost perspective and offers a new viewpoint on technology selection in the AI era.

A comprehensive look at the reality of startup investment in Japan from the frontlines of angel investing, and how to overcome the investor evaluation cost problem. This guide provides practical knowledge and strategic presentation techniques that startups need to secure investment.

A hackathon winner and mentor for the KOSEN Intercollegiate Challenge shares universal success strategies derived from understanding evaluator psychology, value creation, and learning from failure. This guide systematically explains behavioral science principles applicable to business and project advancement.

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.

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.