#AI编程
7693 related articles
TutorialsPython Machine Learning in Practice: A Complete Guide from Algorithm Derivation to Code Implementation
A systematic Python ML course using a 3-stage framework: algorithm derivation, code implementation, and experimental analysis. Covers logistic regression, decision trees, and ensemble learning.
TutorialsClaude Code and Vibe Coding: A Complete Guide to Writing Code with AI from Scratch
A deep dive into Claude Code CLI and Vibe Coding philosophy. Learn why developers prefer Claude for coding and how beginners can use natural language to generate high-quality code with AI.
Deep DivesThe Three-Stage Evolution of AI Coding Tools: From Copilot to Cursor to Claude Code
Deep analysis of AI coding tools' three-stage evolution: GitHub Copilot as a supercharged input method, Cursor as a pair programming partner, and Claude Code as a system-level agent.
Product ReviewsCodeGraph: Give AI a Code Map to End Blind Searching in Large Repositories
CodeGraph is a local code semantic indexing tool that provides AI coding agents with code relationship maps via MCP, reducing costs by 35% and tool calls by 70% in large repositories.
TutorialsClaude Code Enterprise Deployment Guide: Ecosystem Framework and Hands-On Configuration
Deep dive into Claude Code's enterprise deployment architecture for large codebases, covering CLAUDE.md, Hooks, Skills, MCP servers, and organizational governance strategies.
TutorialsClaude Code Installation & Setup Guide: Comparison with Cursor/TRAE and Solutions for Users in China
Complete guide to installing Claude Code with system requirements and setup for users in China. Compare with Cursor and TRAE, learn IDE integration, and configure third-party models like DeepSeek.
TutorialsHarness AI Engineering Programming: A Practical Guide to Building Enterprise-Grade Projects with Claude Code
A deep dive into the Harness AI Engineering Programming framework — how to use Claude Code with VS Code for enterprise-grade development, covering architecture, task decomposition, and quality gates.
TutorialsHuggingFace Transformers Beginner's Guide: Model Download, Pipeline Inference, Training & Saving
Learn HuggingFace Transformers core usage: pretrained model download, Pipeline API for sentiment analysis, Tokenizer principles, model inference with Softmax, and saving workflows with Python examples.
TutorialsUsing AI to Crack Infinite Debugger Anti-Debugging in One Click: A Hook Script Hands-On Tutorial
Learn how to use Prompt Engineering to have AI auto-generate Hook scripts that bypass infinite debugger anti-debugging, covering Function constructor rewriting and timer interception.
TutorialsClaude Code + n8n: Complete Hands-On Tutorial for Building an AI SaaS with Zero Code
Learn how to turn n8n automation workflows into a complete AI SaaS product using Claude Code, Next.js, Supabase, and Vercel — with zero hand-written code.
TutorialsCodex APP Tutorial: Mastering 11 Core Features from Beginner to Pro
Detailed guide to OpenAI Codex APP's 11 core features including Plan Mode, Git integration, Skills system, and model selection with hands-on project demos.
TutorialsClaude Code + Agent SDK for a Personal AI Assistant: A More Elegant Solution Than OpenClaw
Deep dive into using Anthropic Agent SDK to bridge Claude Code via Telegram for a personal AI assistant. Compared to OpenClaw, featuring a three-layer memory system and Mega Prompt guided setup.
Expert OpinionsThe Faster AI Generates Code, the Faster Your Project Dies: Trust Engineering Is the Real Bottleneck
AI programming drives code generation cost to zero, but verifying correctness is the ultimate bottleneck. GitClear data shows 10x copy-paste surge. Developers must shift from writing to verifying code.
TutorialsClaude Code Keeps Writing Garbage Code? A Configuration Guide for CLAUDE.md and AGENTS.md
Deep dive into CLAUDE.md and AGENTS.md configuration for Claude Code. Real cases show proper setup reduces context explanation time from 60% to near zero, letting AI truly understand your project.
Product ReviewsHarness AI Engineering Programming: Boost Enterprise Project Development Efficiency by 10x
Deep dive into Harness AI engineering programming methodology, solving AI coding pain points like hallucinations, code standards, and context loss for 10x enterprise efficiency.
Expert OpinionsHow Can a One-Person Company Achieve a Computing Power Leap with AI Clusters? A Practical Guide from Executor to Decision-Maker
How can indie developers build a one-person company with AI clusters? This guide covers AI automation agents, information arbitrage, and bio-optimization for the transition from executor to decision-maker.
TutorialsAI-Assisted Reverse Engineering in Practice: Analyzing Douyin's Encrypted Parameters and Environment Spoofing
Learn how AI models like DeepSeek assist reverse engineering: analyzing Douyin's X-Bogus encryption, auto-generating 600+ lines of browser environment spoofing code.
Deep DivesIn the Age of AI Programming, Why Is Godot Better Suited Than Unity and Unreal?
A deep comparison of Godot, Unity, and Unreal for AI programming collaboration across file formats, language complexity, and future trends.
Product ReviewsAntigravity 2.0 Update: A Complete Breakdown of the Three-Product Suite
Antigravity 2.0 expands into three tools: a conversational programming tool, classic IDE, and CLI. This article breaks down their positioning, features, and product strategy for developers.
Product ReviewsCodex vs Kiro vs Coder: A Real-World Comparison of AI Coding Tools in 2025
A hands-on comparison of OpenAI Codex, Amazon Kiro, and Coder using the same HTML game prompt — evaluating code quality, game completeness, and real-world usability with detailed scores and recommendations.