AI Articles: Tutorials, Reviews and In-depth Guides

Codex Dream Skin Arina Hashimoto light preset running in the app

Customizing the Codex Desktop Theme: Official Appearance Settings and Dream Skin

A tool you stare at for ten hours a day deserves to look good. This guide covers two levels of Codex desktop customization: first, use the official Appearance settings to tune the theme, colors, and fonts; then use the open-source Codex Dream Skin to add a custom background. It explains both script and Skill installation, image specifications and composition, macOS and Windows differences, recovery options, security boundaries, and common pitfalls.

AI Content Editor8 viewsCoding
Code review beside a practical checklist

How to Review AI-Generated Code: A Practical Checklist

AI-generated code is unusually good at looking correct, which is precisely what makes it dangerous. This review checklist covers the places AI code fails most often, the right order for review, and how to use AI to review AI without turning approval into a rubber stamp.

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A comparison between code benchmarks and real-project evaluation

How Should You Test AI Coding Ability? From Puzzle Scores to Real Projects

Perfect LeetCode results and high benchmark scores do not prove that a model can improve your codebase. Learn the limits of coding-puzzle benchmarks, the dimensions that matter in real development, and a practical process for building an evaluation set from your own repository.

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系统故障与风险控制示意

AI 编程为什么容易改坏项目?如何降低风险

AI 改坏项目不是因为它笨,而是因为它没有全局视野、会自信地幻觉、倾向过度改动,而人又容易过度信任。本文拆解 AI 编程翻车的根本原因,给出一套从任务拆分到验证兜底的降风险实践。

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Version-control branches supporting parallel development

How to Isolate and Review AI Code Changes with Git Worktree and Diff

When AI edits code in your main workspace, its changes become hard to separate from your own. Git Worktree gives each AI task an independent directory and branch in the same repository, producing clean diffs, easy disposal, and safe parallel work. This guide provides the complete workflow and scripts.

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A developer integrating AI into an existing codebase

How to Integrate Claude Code, Cursor, and Codex into an Existing Project

AI coding tools shine on toy projects but can stumble in a real codebase with tens of thousands of lines, established conventions, and years of technical debt. Learn how to provide project context, set permission boundaries, and choose the right integration approach for Claude Code, Cursor, and Codex.

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统一接口与多个系统对接示意

OpenAI 兼容接口是什么?为什么这么多模型都支持它

从 DeepSeek、通义到 vLLM、Ollama,几乎人人都提供「OpenAI 兼容接口」。它不是 OpenAI 的官方标准,而是行业自发形成的事实约定。本文讲清它到底兼容什么、能无缝切换到什么程度、以及不兼容的边界在哪。

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缓存与数据加速示意

Prompt Caching 是什么?如何用它降低 AI API 成本

同样的系统提示词和知识库前缀被反复发送,是 AI 账单虚高的隐形大头。Prompt Caching 把这部分「缓存」下来,命中后大幅降价。本文讲清 OpenAI 和 Claude 两家缓存机制的差异、能省多少、怎么组织提示词才命中率高。

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Developer tools connected through an integration ecosystem

10 Types of MCP Servers Every Developer Should Know

The MCP Server ecosystem is exploding, but only a handful of categories are useful to developers every day. This guide explains 10 essential types—from files, GitHub, and databases to retrieval, browsers, and documents—and what to consider before using each one.

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