#Agent Mode
5233 related articles
·7 min
AI Agent Development: A Four-Stage Competency Model from 15K to 40K RMB Salary Growth Path
A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).
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·6 min
Getting Started with LangChain: A Deep Dive into Model and Agent Core Concepts
Deep dive into LangChain's core Model and Agent concepts, covering unified model interfaces, agent tool calling, middleware mechanisms, and key principles for building LLM applications.
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·3 min
Agentic Coding: How AI Agents Are Reshaping Legacy System Modernization
Developers spend 60%+ of their time understanding legacy code. Agentic Coding uses AI Agents to autonomously explore codebases, map hidden dependencies, and generate tests—turning legacy modernization from risky archaeology into a controlled engineering process.
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·3 min
Meshy AI Modeling Agent: Generate Complete 3D Model Assets in a Single Conversation
Hands-on with Meshy AI modeling agent: generate 3D scenes, PBR materials, and low-poly bakes through natural language. Includes cyberpunk and character tests with Blender import verification.
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·4 min
Three Modes of AI Development: A Complete Guide from Chat to Agent to IDE
A systematic guide to three AI development modes: chat-based, Agent, and AI IDE. Covers model selection, cost comparison, and use cases for beginners.
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·2 min
mini-SWE-agent Roulette Mode: Why Randomly Switching Between LLMs Actually Performs Better
SWE-agent team finds mini-SWE-agent randomly switching between GPT-5 and Claude Sonnet 4 outscores either model alone on SWE-bench. Exploring the diversity hypothesis behind Roulette Mode.
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·2 min
Nex N2 Pro In-Depth Review: How Does This Chinese Open-Source Agent Model Really Perform?
In-depth review of Nex N2 Pro, a Chinese open-source Agent model. Covers frontend code generation, Agent workflows, and benchmark comparisons, revealing gaps between official claims and independent tests.
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·3 min
Microsoft Copilot Cowork Introduces DeepSeek: Multi-Model Architecture and Enterprise AI Agent Strategy Explained
Microsoft Copilot Cowork launches with multi-model architecture, considering DeepSeek V4 as a low-cost option. Deep dive into usage-based pricing, WebIQ search, and Microsoft's enterprise AI agent strategy.
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·3 min
Complete Guide to Custom Models and Agent Configuration in Trae
A detailed guide to configuring custom models in Trae via provider APIs and proxy APIs, plus how to create personalized agents for your own AI assistant.
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·2 min
Qwen3-Coder Deep Dive: A Coding Model Built for Long-Horizon Agent Loops
Deep dive into Qwen3-Coder: 11 hours continuous operation, 10K+ lines of code, 1000+ calls. Explore its long-horizon agent loop architecture, reasoning persistence, thinking mode switching, and deployment on Fireworks.
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·2 min
Agent Middleware: Adding Interceptors to Model Calls
Learn how AI Agent middleware works through two practical examples — logging and security checks. Master the Observer and Guardian design patterns to build extensible, production-grade Agents.
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·2 min
ZCodeAI Free AI Agent Tool Review: Multi-Model Aggregation at Zero Cost
Detailed review of ZCodeAI, a desktop AI Agent tool by ZhiPu featuring free built-in models like DeepSeek V4 Flash and Xiaomi MiMo, with multi-model aggregation and no API Key required.
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·1 min
Claude Fable 5 as a Computer Use Orchestrator Model: Excelling in Long-Running Agent Workflows
Anthropic launches Claude Fable 5 as a Computer Use orchestrator model for Pro and Max users, excelling in long-running agent workflows for automation tasks.
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·2 min
Avoid oh-my-openagent: Hardcoded Model Identity Injection Wastes Half Your Tokens
Deep analysis of oh-my-openagent plugin's critical flaws: hardcoded Claude Opus 4.7 identity misleads non-Claude users, prompt injection doubles token costs. Includes alternatives and developer tips.
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·3 min
Hermes Overhaul in Practice: Building a Multi-Model Orchestration Master Agent System
How to transform the Hermes Agent framework into a unified orchestration hub with intelligent routing across Claude, Gemini, and Codex, featuring inter-Agent communication, task monitoring, and more.
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·2 min
Anthropic London Developer Conference: Claude Model Upgrades, Enterprise Agent Platform, and Developer Tools Fully Evolved
Anthropic's first London Code with Claude event unveiled Opus 4.7, Mythos, Cloud Managed Agents, Claude Code Routines, and more for AI-assisted development.
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·2 min
Android Studio Agent Mode Explained: A Guide to Zero-Configuration Firebase Integration
Android Studio now features Agent Mode with Firebase Agent Skills for zero-config setup. Learn about automated Firestore, Authentication, and security rules.
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Product Reviews·1 min
Cursor 3.0 Deep Dive: Multi-Agent Parallelism, Design Mode, and Best-of-N Model Comparison
Cursor 3.0 evolves from an AI coding assistant into an Agent fleet command center. Explore multi-agent parallelism, Design Mode, and Best-of-N model comparison.
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Product Reviews·1 min
Cursor 3.0 Deep Dive: Multi-Agent Parallelism, Design Mode & Best-of-N Model Comparison
Cursor 3.0 evolves from an AI coding assistant into an Agent fleet command center. Deep dive into multi-agent parallelism, Design Mode, and Best-of-N model comparison.
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Tutorials·3 min
Claude Code with GLM 4.6: A Guide to Deploying a Programming Agent with Chinese Domestic Models
A detailed guide on deploying Claude Code programming Agent with Zhipu GLM 4.6, covering installation, model replacement, commands, thinking modes, and SubAgent parallel development.
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