Su San, former staff at several leading tech companies, is a top creator on Juejin and a premium creator on CSDN, and runs the free coding practice site www.susan.net.cn.
The article compares OpenAI's GPT‑5.5 and DeepSeek V4 on architecture, inference efficiency, benchmark performance, pricing, and ecosystem openness, offering scenario‑based recommendations to help developers choose the model that best fits their cost, performance, and deployment needs.
The author details a two‑month experiment that combines Claude Code, Codex, and Gemini into a four‑step AI‑driven development pipeline, showing how each model’s strengths complement the others to double coding efficiency for medium‑to‑large projects.
This article examines Claude Code's market dominance, core design philosophies, step‑by‑step installation, extensive CLI and slash commands, shortcut keys, work modes, strengths and weaknesses, and a complete Spring Boot authentication module workflow, providing concrete examples and performance data.
This guide walks through the most useful IntelliJ IDEA configurations, practical usage tips, and a comprehensive shortcut reference, showing exactly where to change themes, fonts, file encodings, code templates, and key mappings so developers can work faster and more efficiently.
This article walks through a complete prompt‑engineering workflow—starting from a weak baseline, building an evaluation pipeline, and applying four concrete techniques (clarity, specificity, XML structuring, and examples) that lift a Claude score from 3.4 to over 9, with code, metrics, and real‑world examples.
This article introduces Claude Code, an agentic command‑line AI coding assistant, explains its core features, walks through installation via Node.js, demonstrates a full Markdown editor project using Vue3, and details built‑in commands that streamline development tasks.
This step‑by‑step guide shows Java developers how to set up Spring AI, configure various model providers, build basic and streaming chat APIs, enable multi‑turn memory, implement RAG with vector stores, add tool‑calling and multimodal capabilities, integrate MCP, and create sophisticated agents, while comparing ChatModel and ChatClient and outlining strengths, weaknesses, and ideal use cases.
The article examines the rise and decline of the Model Context Protocol (MCP), outlines its four critical flaws—including context bloat, architectural complexity, security risks, and passive tool design—while presenting command‑line interfaces (CLI) as a more efficient, secure, and debuggable alternative for AI agents, and discusses hybrid approaches and practical implementations.
To make Retrieval‑Augmented Generation reliable in production, the article outlines five key engineering tactics—semantic chunking with metadata, hybrid vector‑keyword search, two‑stage retrieval with reranking, query rewriting and expansion, and dynamic result evaluation—each illustrated with concrete examples and code snippets.
This guide walks you through installing Hermes Agent, configuring models and memory, creating custom skills, setting up cron jobs, integrating with messaging platforms, troubleshooting common issues, and exploring community resources, providing a complete roadmap from a first conversation to advanced automation and monetization.
