#AI编程
7823 related articles
AI Engineering in Practice: The Complete Workflow of Claude Code and Agent Skill Development
A Bilibili hands-on course analyzes AI engineering: using Claude Code, Codex, and WorkBuddy to develop enterprise-grade Agent Skills, covering WeChat article drafts, quantitative analysis, and automated Xiaohongshu posting, while explaining the paradigm shift of Skill-driven development and tool selection.
LangChain for Beginners: A Practical Guide to Structured Output and Agents
Starting from zero with LangChain: clarify the difference between low-code platforms and large model application development, covering structured output, tool calling, Agent practice, and multi-tenant RAG enterprise deployment—ideal for engineers with development experience looking to transition into AI application development.
MCP Protocol Explained: How a Single Email Can Hijack Your AI Agent
A deep dive into MCP: from the M×N to M+N integration mental model, the 2026 stateless spec and Python code practices, to a full prompt injection attack reproduction and five defenses to help you design and harden your AI Agent's tool layer.
MCP Protocol Explained in One Minute: Let Your AI Agent Actually Call Tools
Understand MCP (Model Context Protocol) in one minute: how Host, Client, and Server collaborate so AI apps can call real tools through a standardized interface, with servers written once and reused by any MCP client.
Building Stateful Engineering Copilots with Letta: Core Memory and Shared State in Practice
A Letta hands-on tutorial analyzing six capabilities of stateful engineering copilots: inspectable core memory, vector semantic retrieval, multi-agent shared state, custom tools, streaming output, and portable workflows, plus applicable scenarios and operational limits.
Chalk and Airplane: A Metaphor Revealing the AI Programming Dilemma
Using the metaphor from the Hacker News post "The Chalk and the Airplane," this article analyzes the capability mismatch of AI programming tools: developers still use chalk thinking to control airplane-level tools. It explores the paradigm shift in AI programming, task selection, and validation mechanisms.
Run Claude Code for Free: DeepSeek V3 & Gemini API Integration Guide
Learn to use a one-click Windows installer to switch Claude Code's backend to DeepSeek V3, Gemini, or free OpenRouter APIs—zero-cost terminal AI coding, with full setup and limitations.
Getting Started with Gemini 4 Argonne: A Hands-On Guide from Building Sites to Agents
Complete Gemini 4 Argonne tutorial: build a calorie tracker app with one prompt in Google AI Studio, review 10-page technical documents with long context, develop a browser game as a coding Agent in Anti-Gravity, plus API Key setup, pricing, and subscription requirements.
Cursor vs. Claude Code vs. Copilot: A Scenario-Based Selection Guide
Cursor, Claude Code, or GitHub Copilot? A scenario-based guide covering daily coding, large refactors and long tasks, and teams locked into existing IDEs—plus common pitfalls and combined-use advice.
MCP Protocol Explained: The Universal Plugin for AI Agents and a Secure Installation Guide
What is MCP (Model Context Protocol)? This article explains how MCP lets AI agents connect to external tools, distinguishes remote and local servers, demonstrates installing, verifying, and removing MCP servers in Codex, and offers five security questions to ask before installing third-party servers plus a prompt injection risk warning.
Using AI Agents to Automatically Find the Best Meeting Time for Your Team
Follow the Outlook Assistant tutorial's second installment: use an AI Agent to find the best 30-minute slot for a six-person team with scoring rules, Codex tools, heat maps, and drafts.
Same Price, Different Bill: AI Agent Billing Traps and Cost-Saving Routing Strategies
With the same per-token price, AI Agent bills can differ by 10x. This article breaks down three billing traps—reasoning effort, the context cliff, and cache invalidation—and offers actionable cost-control solutions: routing models by step, logging four-bucket telemetry, and compression guards.
Use Claude Code CLI for Free: One-Click Windows Installation Tutorial
A YouTube Short shows how to install Claude Code CLI for free on Windows in one click. We break down the steps, the free-access mechanism, privacy/security risks of third-party relays, and safer alternatives.
Building AI Agents with Python and the Claude API: Tool Use and MCP in Practice
A hands-on Python AI Agent tutorial with the Claude API: from basic messages.create calls to Tool Use, Agent Loop implementation, the MCP open standard, the Claude Agent SDK, and security best practices.
AI Agents Aren't Chat Boxes: Breaking Down the Plan-Tool-Read-Decide Loop
An AI Agent isn't a smarter chatbot but a four-step loop: plan, call tools, read results, decide. This breakdown uses an 18KB file task to explain the mechanism, compares Claude Code, Codex, and ChatGPT tool calling, and summarizes traps like infinite tool loops and blind trust in tool output, plus five convergence practices.
AI Agents Are Not ChatGPT: Three Core Differences and a No-Code Hands-On Demo
How is an AI Agent different from ChatGPT? Based on a YouTube demo, this article explains the three core capabilities of AI Agents—using tools, running on a schedule, and autonomous decision-making—and showcases a no-code, zero-cost job-monitoring Agent case study.
Claude Max Gives You $100 in Free API Credits Every Month — Here's How to Use It
Claude Max subscribers get $100 in API credits monthly. Learn the rules, activation steps, usage limits, and four low-cost product validation ideas.
Claude Max Members Now Get $100–200/Month in API Credits: Usage Guide and Limitations Explained
Claude Max subscribers now get $100–200/month in API credits covering API, Playground, and Agent SDK but not Claude Code. Here's how to claim them and use them well.
Claude Agent SDK vs Claude Code: Same Engine Showdown — Which Is Faster?
A developer pits a 55-line JavaScript agent against Claude Code on the same model and repo: the go-kart finishes in 53 seconds using one-tenth the tokens. Here's how the Agent SDK and Claude Code relate, and when to use each.
Gemini CLI's Seven Key Features: A Million-Token Open-Source Terminal AI Agent
What is Gemini CLI? Discover its seven key features: Apache 2.0 open source and free, 1M token context, MCP integration, GEMINI.md configuration, slash commands, and Google Search grounding, plus getting-started advice.