Discuss code and AI, and document daily life and personal growth.
The article examines why many React projects become unstable due to misuse of hooks, presenting seven frequent anti‑patterns with concrete bad and good code examples, explaining the underlying problems, and offering practical guidelines and a checklist to write reliable Hook‑based effects.
This article explains what a token is, how it differs from characters or words, its role in AI model costs, speed, context limits, and quality, and offers practical tips for managing tokens through context engineering to control expenses and improve performance.
This article explains how ThreadLocal provides per‑thread variable copies in Java web applications, details its internal storage in Thread objects, showcases ten practical scenarios—from request tracing to async tasks—and highlights common pitfalls such as memory leaks and thread‑pool data contamination, offering concrete best‑practice recommendations.
This guide walks through building a production‑grade code‑analysis assistant, detailing requirements, architecture, a Node.js tech stack, TF‑IDF RAG implementation, dynamic skill loading, secure tool calls, memory handling, observability, common pitfalls, and paths to scale from a demo to a full‑featured system.
This guide explains what useEffect does, its three core execution rules, how dependency arrays change its behavior, eight practical scenarios, six typical pitfalls with concrete code examples, and best‑practice recommendations for writing clean, leak‑free React functional components.
This article walks through Spring Data JPA interface projections—from basic setup and field aliasing to association queries, closed vs. open projections, pagination, and dynamic use—showing how they eliminate redundant data fetching, improve performance, and avoid common pitfalls.
