#API design
7325 related articles
Tutorials·3 min
Complete Installation & Configuration Guide for VectCut AI Editing Agent: Windows & Mac
Complete guide to installing and configuring VectCut AI Editing Agent on Windows and Mac, covering client download, CapCut draft path setup, and Git Bash installation.
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Product Reviews·2 min
The Big Four AI Coding CLIs Compared: Claude Code vs. Copilot vs. Gemini vs. Codex — How to Choose
In-depth comparison of Claude Code, Copilot CLI, Gemini CLI, and Codex CLI — covering MCP support, context windows, open-source status, pricing, and a decision tree for choosing the right tool.
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Deep Dives·2 min
What Is the MCP Protocol? Understanding the USB-C of the AI World
MCP (Model Context Protocol) is a unified standard for connecting AI models to external tools. This guide explains MCP's core concepts, practical value, and provides a quick-start tutorial.
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Product Reviews·3 min
AI Agent Investment Research Showdown: ChatGPT vs. Kimi vs. Manus — Who Delivers Better Financial Analysis?
Testing ChatGPT, Manus, and Kimi on the same investment analysis task reveals how multi-agent architecture, fault tolerance, and parallel workflows define the real capability boundaries of AI Agents in professional finance.
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Product Reviews·2 min
G-Rec: An Open-Source Agent Framework Built for Gemini CLI
G-Rec is an open-source agent framework built on Gemini 2.5 Pro with Windows/Chinese path support, persona systems, and skills extension, offering a free alternative to Claude Code.
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Tutorials·3 min
Agent Skills Decision Trees: Enabling Autonomous Decision-Making for AI Coding Assistants
Learn how to embed decision tree logic in Agent Skills to give AI coding assistants like Antigravity and Claude Code autonomous decision-making. Includes a Code Review Router case study with complexity scoring and failover.
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Tutorials·3 min
Complete Guide to Connecting Claude Code with DeepSeek-V4
Complete guide on connecting DeepSeek-V4 to Claude Code, covering Node.js installation, environment variable configuration, model mapping, and real-world coding tests for a near-premium AI programming experience with open-source models.
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Tutorials·3 min
Frontend Engineers Leveling Up to AI Agents: LangGraph.js Architecture Design & Practical Guide
How can frontend engineers advance into AI Agent development? This guide covers LangGraph.js core architecture (state, nodes, edges), LangChain comparison, and workflow agent design with practical examples.
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Product Reviews·3 min
CREAO Agent Competitive Monitoring Automation in Practice: From 5 Hours a Week to 10 Minutes a Day
Learn how to build an automated competitive monitoring pipeline with CREAO Agent, covering multi-platform data collection from X, Reddit, and Xiaohongshu to generate structured intelligence reports with high-value Leads, user complaint analysis, and actionable Ideas.
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Tech Frontiers·3 min
Claude Code Sub-Agents and Cursor BugBot Launch: AI Programming Tools Get Major Upgrades
Anthropic adds custom sub-agents to Claude Code, Cursor launches code review Agent BugBot, Qwen releases 92-language translation model, and Google unveils three experimental AI products.
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Tutorials·2 min
The Three-Layer Pyramid Model for Agent Development: From Beginner to Industrial-Grade Deployment
Deep dive into the Three-Layer Pyramid Model for Agent development, covering autonomous agents, collaborative multi-agent systems, and universal orchestration agents with a complete learning path from beginner to industrial-grade deployment.
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Tutorials·3 min
Getting Started with AI Full-Stack Development: A Knowledge Framework from Machine Learning to Large Language Models
A systematic guide to the relationships between AI, machine learning, deep learning, and large language models, helping developers build a clear knowledge framework and find an efficient learning path.
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Tutorials·3 min
Enterprise Multi-Agent Development: Low-Code Platforms vs. Hand-Written Code — An In-Depth Comparison
In-depth comparison of two enterprise multi-agent development approaches: low-code platforms like Dify vs. hand-written code with LangGraph. Covers efficiency, flexibility, security, and prompt injection defense strategies.
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Tutorials·3 min
LangChain Core Concepts Explained: A Complete Guide to Components, Chains, and Agents
Deep dive into LangChain's three core concepts—Components, Chains, and Agents. Learn how this open-source framework connects LLMs to the external world and helps developers build enterprise AI apps.
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Product Reviews·3 min
Kimi K2.6 In-Depth Review: A Complete Breakdown of Its Coding and Agent Capabilities
In-depth review of Kimi K2.6's coding, Agent collaboration, and visual development capabilities. #1 open-source on SWE-Bench Pro, 300 parallel sub-agents, API priced at 1/3 of competitors.
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Product Reviews·3 min
Running Qwen3.6-27B Locally on Mac: 4 Solutions Benchmarked
Benchmarking 4 solutions for running Qwen3.6-27B locally on Mac: GGUF, MLX Diflash, and MTP-LX. MTP-LX 4bit leads at 43.6 tok/s with solid coding, writing, and reasoning quality.
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Tutorials·3 min
Enterprise RAG Implementation: Architecture Principles and Production-Grade Optimization Guide
Complete guide to enterprise RAG architecture covering data indexing, vectorization, and retrieval optimization. Practical insights on chunking strategies, hybrid retrieval, and hallucination control for production-grade LLM applications.
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Tutorials·3 min
Getting Started with LLM Application Development from Scratch: A Complete Guide to Learning Paths and Career Directions
A complete beginner's guide to LLM application development: learn the three key directions (API calling, RAG, Agent), master frameworks like LangChain, and follow a step-by-step learning path to become an AI application developer.
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Tutorials·3 min
Learning LLM Application Development from Scratch: A Complete Roadmap from RAG to Agent
How to start LLM application development from scratch? A complete roadmap covering Python basics, RAG knowledge bases, and Agent development with LangChain.
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Tutorials·3 min
GStack Tutorial: 23 Commands That Give One Person an Entire AI Development Team
Deep dive into GStack, the open-source toolkit by YC President Gary Tan. 23 slash commands turn Claude Code into a full AI dev team covering product decisions to deployment.
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