#AI编程
9160 related articles
TutorialsClaude Code Installation Guide: Connecting DeepSeek Models + PPT Creation in Practice
Complete guide to installing Claude Code, connecting DeepSeek models via API, using CC Switch for model management, and auto-generating magazine-style PPTs with Skills.
TutorialsLangChain Conversational Memory in Practice: Principles and Latest Implementation of Four Memory Types
Deep dive into four conversational memory types in LangChain 0.3: Buffer, Window, Summary, and Summary Buffer. Covers RunnableWithMessageHistory implementation with selection guidelines.
TutorialsPixi Package Manager: The Ultimate Solution for Unified Management of Python, Rust, and System Dependencies
Pixi is a cross-platform package manager built on Conda-Forge, written in Rust, that unifies Python packages, Rust toolchains, and system-level dependencies like FFmpeg in one workflow.
TutorialsLangChain Prompt Templates Explained: A Practical Guide to Few-Shot and Chain-of-Thought
A deep dive into LangChain prompt templates covering ChatPromptTemplate basics, Few-Shot prompting, and Chain-of-Thought techniques with RAG examples to build high-quality prompt pipelines.
TutorialsLangChain v0.3 Agent Tutorial: Complete Guide to Tool Definition, Building, and Execution
Complete guide to building AI Agents in LangChain v0.3, covering @tool decorator, Agent Executor, parallel tool calls, Google Search integration, and ReAct framework with code examples.
TutorialsLangChain Agent Executor Architecture: Building a ReAct Agent from Scratch
Deep dive into LangChain Agent Executor internals, covering the ReAct reasoning-action-observation loop, tool choice strategies, and building a custom Agent Executor from scratch.
TutorialsLangChain LCEL Expression Language Deep Dive: Pipe Operator, RunnableLambda, and Parallel Execution in Practice
Deep dive into LangChain LCEL core concepts: pipe operator internals, RunnableLambda function wrapping, RunnableParallel retrieval, and RunnablePassThrough with complete code examples and RAG practice.
TutorialsLangChain AI Agent in Practice: Complete Tutorial on Streaming Output + Parallel Tool Calling
Learn how to build a production-grade AI Agent chat app with LangChain and FastAPI, covering streaming tokens, asyncio parallel tool calling, SerpAPI async conversion, and structured output.
TutorialsLangChain Streaming Output & Async in Practice: Complete Implementation for Agent Scenarios
Deep dive into LangChain streaming output and async implementation, covering astream usage, custom AsyncQueueCallbackHandler, and Agent streaming executor architecture for production AI apps.
TutorialsPractical Guide to OpenAI Agents SDK Message Types and Conversation History Management
Deep dive into OpenAI Agents SDK's five message types, conversation history management, and common pitfalls including static/dynamic instructions and Function Call pairing.
Deep DivesAI Agent Conversation History Management: From Message Lists to Event-Driven Architecture
Traditional user-assistant alternating chat history can't meet complex AI Agent needs. This article explores modeling Agent interactions as event sequences, revealing Agents as workflow engines.
TutorialsOpenAI Agents SDK Tracing Guide: Zero-Configuration Agent Observability
Learn how to use OpenAI Agents SDK's built-in tracing system for AI Agent observability, covering zero-config auto-tracing, custom trace contexts, and tool call monitoring.
Product ReviewsClaude Code Ultra Review Hands-On: Deep Dive into Multi-Agent Code Review
Hands-on deep dive into Claude Code's upcoming Ultra Review: multi-Agent parallel search, independent verification, deduplication workflow, comparison with standard Review, plus custom Fleet Review implementation.
TutorialsClaude Code Agent Teams Practical Guide: 30 Tips for Efficient Collaboration
In-depth analysis of 30 practical tips for Claude Code Agent Teams, covering team formation, task planning, cost control, and file conflict avoidance.
TutorialsClaude Computer Control Best Practices: The Complete Guide to Screenshot Scaling and Coordinate Mapping
Official Anthropic best practices for Claude computer control: screenshot scaling resolution, coordinate mapping code, model pairing, and fixing click offset issues in AI agents.
Product ReviewsClaude Code Agent Teams Hands-On: Is Multi-AI Collaborative Development Actually Worth It?
Hands-on review of Claude Code Agent Teams multi-agent collaboration: team architecture, real-world performance, token costs, key limitations, and pragmatic recommendations for when to use it.
Product ReviewsGlutra: A Multi-Agent Collaborative Desktop App for Building Your AI One-Person Company
Glutra is an open-source multi-agent desktop app for batch creating AI employees, visual workflow orchestration, and real-time monitoring. Cross-platform support for building your AI one-person company.
TutorialsMulti-Agent Applications in Practice: Building AI Multi-Agent Collaborative Workflows from Scratch
A practical guide to building multi-agent collaboration systems, covering assistant creation, skill assignment, group chat mechanisms, and solutions for hallucination in AI workflows.
TutorialsClaude Code Guide for China Users: Get Started from ¥7.9 Without a Credit Card
Guide to using Claude Code in China at low cost without an overseas credit card. Covers installation, API proxies, and budget alternatives starting from ¥7.9.
Product ReviewsFull-Stack Delivery with Claude Code: One Person Completing an Enterprise-Level RAG Project
How to use Claude Code to independently deliver an enterprise-level multimodal RAG project, covering frontend/backend strategy, spec docs, and full-pipeline methodology.