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381 related articles
·2 min
sakana-mcp: Driving AI Scientist Autonomous Research Cycles via MCP Protocol
sakana-mcp wraps Sakana AI Scientist v2 as an MCP server, letting Claude and Cursor act as research directors to orchestrate autonomous research cycles.
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·4 min
AI Agent Development: A Complete Six-Week Systematic Learning Roadmap
A systematic six-week learning roadmap for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, deployment, and hands-on projects.
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·3 min
Building an AI Stock Analysis System with Qwen3 + Dify: A Hands-On Tutorial
A hands-on guide to building a real-time AI stock analysis system using Dify workflows and Qwen3. Covers deployment, technical indicators (RSI/MACD/Bollinger Bands), and trading strategy generation.
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·3 min
In-Depth Guide to the Codex Chinese Manual: A Complete Walkthrough from Beginner to Advanced
In-depth breakdown of ByteDance's 198-page Codex Chinese manual covering installation, Commands, MCP workflows, Skills templates, and multi-Agent collaboration.
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·3 min
Claude Code Skills and MCP Resources: A Complete Guide from Beginner to Expert
A comprehensive guide to Claude Code Skills and MCP resources, covering international platforms like Skills.mp and Smithery plus Chinese alternatives, with a quick selection guide to boost AI coding productivity.
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·3 min
PilotDeck: A Local Console That Tames Multi-Task Agent Chaos
PilotDeck is an open-source local Agent console from a Tsinghua-affiliated team that solves multi-task chaos with workspace isolation, white-box memory management, and smart model routing.
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·3 min
The Complete Guide to OpenAI Codex CLI: From Installation and Configuration to Enterprise-Level Practice
In-depth guide to OpenAI Codex CLI: covering installation, agents.md design, multi-agent collaboration, MCP protocol integration, and a RAG customer service project.
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·3 min
LangGraph Beginner's Guide: Core Advantages, Common Misconceptions, and Deployment Practices Explained
A comprehensive guide to LangGraph's three core advantages, its relationship with LangChain, short-term and long-term storage mechanisms, and deployment strategies for development and production environments.
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·3 min
OpenAI's Head of Evaluations: Never Underestimate a Model's Capabilities
OpenAI's Frontier Evaluations lead Tejal Patwardhan shares insights on O1's jailbreak breakthrough, wet lab experiments beating human baselines, and building the AGI Index—revealing AI capabilities evolving faster than imagined.
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·3 min
9 Advanced Claude Code Tips: From Memory Injection to Context Management — A Complete Guide
9 advanced Claude Code tips covering /init memory injection, Token context monitoring, Plan mode, collaboration strategies, and /undo safe rollback to build a complete AI coding workflow.
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·4 min
Claude Code Practical Guide: From Installation & Configuration to Production-Ready Business Projects
Complete guide to Claude Code + Opus setup via CCSwitch for unified model management. Real-world case: payment system built in 4 hours with zero hand-written code, covering installation, Prompt engineering, and model selection.
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·4 min
Llama.cpp Windows Local Deployment Guide: Run LLMs in Three Steps Without Compiling
Step-by-step guide to deploying Llama.cpp on Windows without compiling. Download pre-built packages, configure CUDA, and run GGUF quantized models locally with GPU acceleration and web UI in three simple steps.
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·3 min
Codex vs Claude Code vs Cursor: How to Choose Among the Big Three of AI Coding
In-depth comparison of Codex, Claude Code, and Cursor across pricing, stability, and strengths. Codex excels at frontend, Claude Code at backend logic, and Cursor remains a solid veteran choice.
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·4 min
Local Deployment of Claude Code: Principles and Practical Guide for Three Approaches
A detailed guide to locally deploying Claude Code with three approaches (LM Studio, Ollama, vLLM), covering architecture, protocol translation, hardware selection, and model recommendations.
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·4 min
AI Full-Stack Development Architecture: A Three-Layer Progressive Path from Prototype to Production
A detailed guide to AI full-stack development architecture covering Node.js+TypeScript+Monorepo engineering, Docker CI/CD deployment, and AI engine design with interview tips.
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·3 min
Hermes Agent Deployment Guide: Building a Mobile AI Coding Workflow with Telegram
Learn how to deploy Hermes Agent on a VPS with Telegram Bot integration for mobile AI coding. Covers Docker setup, GitHub integration, auto-deployment, and comparison with OpenClaw.
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·3 min
Claude Code Installation Guide & The Five Stages of AI Programming Tools Explained
Complete Claude Code installation guide with the five stages of AI programming tools, from manual coding to agents. Learn 0-to-1 project building and 1-to-100 iteration challenges.
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·3 min
Gemma 4 Open-Source Model Local Deployment Guide: Ollama Installation & Mobile Setup
Step-by-step guide to deploying Google's Gemma 4 open-source model locally with Ollama and running the lightweight version on mobile with tool calling support.
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·3 min
Claude Code with Local LLMs: Token-Free Deployment Guide & Configuration
Learn how to connect Claude Code to local LLMs for token-free AI coding. Covers three-layer architecture, Ollama/LM Studio/vLLM setup, protocol translation, and hardware selection.
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·4 min
Claude Code Workflow in Practice: From Requirement Grilling to AFK Agent Auto-Coding
A detailed walkthrough of building real features with Claude Code: Grill Me requirement interrogation, auto-generated PRDs, AFK agent coding, and QA iteration loops with DDD and TDD strategies.
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