#AI编程
9160 related articles
TutorialsCredit Pre-check Mechanism for AI SaaS: The Right Way to Prevent Freeloading
Learn how to implement credit pre-check mechanisms in AI SaaS products, including backend balance verification, HTTP 402 handling, frontend recharge guidance, and advanced anti-abuse strategies.
TutorialsSpring AI Alibaba Getting Started: Understand the Best Java-to-LLM Integration Solution in 3 Minutes
A detailed guide on Spring AI Alibaba's core advantages, use cases, and comparison with Spring AI and LangChain4J for Java developers integrating LLMs.
TutorialsA 23-Year-Old Built an App with AI in Two Weeks, Reaching $20K/Month in 50 Days: The Complete Methodology
A 23-year-old with no coding background used Claude Code to build an app in two weeks, growing from zero to $20K/month in 50 days. Full breakdown of his methodology from idea validation to AI programming and growth marketing.
TutorialsDeepSeek + Cursor + DevBox: Complete Project Development and Deployment with Zero Coding Experience
Learn how DeepSeek + Cursor + DevBox enables zero-code project development from design to deployment, perfect for beginners and non-programmers.
TutorialsWriting Web Novels with DeepSeek: A Complete 6-Step AI-Assisted Fiction Writing Workflow
A detailed guide to AI-assisted web novel writing with DeepSeek, covering 6 key steps from outline generation to content polishing, with practical prompt tips.
TutorialsLangGraph Multi-Agent Architecture in Practice: A Complete Guide from Single Agent to Enterprise-Level Applications
In-depth guide to LangGraph multi-agent architecture: covering Graph structures, MCP protocol integration, single Agent building to enterprise-level multi-agent collaboration for AI developers.
Tech FrontiersDeep Dive into Google AgentGravity 2.0: Dynamic Sub-Agents, SDK, and the Controversial Product Split
Deep analysis of Google AgentGravity 2.0: dynamic sub-agent system, free SDK, project management upgrades, and the controversy over splitting into desktop app, code editor, and CLI tool.
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.