#LLM-based agent
139 related articles
·2 min
Rockefeller: Lessons from History's First Remote Worker
From Rockefeller managing Standard Oil via telegraph to AI-era collaboration tools, explore over a century of remote work evolution and the core logic of effective remote management.
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Tutorials·2 min
Building a Financial Analysis Agent with Cursor + MCP: From Architecture Design to Production Deployment
A complete guide to building a financial analysis Agent system from scratch using Cursor AI and MCP protocol, covering three-layer architecture design, MCP Server development, and production deployment.
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Tutorials·3 min
Getting Started with AI Agent Development: A Complete Learning Path from Concepts to Practice
A comprehensive guide to AI Agent development for beginners, covering core concepts, market outlook, LangChain framework, RAG knowledge bases, and hands-on projects to systematically master intelligent agent development skills.
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Tutorials·1 min
Essential Skills for LLM Engineers: A Complete Guide to Application Development and Fine-Tuning
A systematic guide to LLM engineer core skills covering RAG, Agent app development and SFT, RLHF fine-tuning, with clear learning paths for different backgrounds.
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Tutorials·3 min
Complete Guide to Claude Code GitHub Integration and Hooks
A detailed guide to Claude Code's GitHub integration for automated PR reviews and Issue fixes, plus the Hooks mechanism for injecting custom logic into AI workflows.
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Tutorials·3 min
Building a Match-3 Game with AI and Letting the Agent Play It: A Complete Hands-On Walkthrough
A front-end dev uses Godot + MCP to let AI build a Match-3 game from scratch, then designs a decoupled architecture for an Agent to play it autonomously with self-improving strategies.
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Product Reviews·3 min
Mavis Hands-On Review: Multi-Agent Collaboration vs. Single Agent — A Comprehensive Comparison in Academic Research and Web Development
In-depth review of Mavis multi-agent platform across academic retrieval, literature review, and web development. Multi-agent mode significantly outperforms single agents in accuracy and reliability.
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Tutorials·2 min
How to Choose an AI Coding IDE: A Complete Comparison of Cursor, Trae, and Windsurf
A detailed comparison of mainstream AI coding IDEs including Cursor, Trae, and Windsurf, covering Auto mode, Codex integration, and more to help developers at all levels find the best AI coding tool.
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Deep Dives·3 min
memU Memory Framework Explained: Unifying Multi-Modal Agent Memory with a File System
Deep dive into the memU open-source memory framework: how it organizes Agent memory as a file system with three-layer semantic abstraction, dual-loop collaboration, and two retrieval modes.
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Tutorials·3 min
Practical Guide to Building Multi-Agent Collaborative Applications with CrewAI + FastAPI
Learn how to build a multi-Agent collaborative system with CrewAI and FastAPI. Covers Agent, Task, Crew concepts, GPT/Tongyi Qianwen/Ollama integration, with complete code examples and model comparisons.
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Tutorials·3 min
Getting Started with LangChain: Core Concepts and Hands-On Guide for LLM and Agent Development
A systematic guide to LangChain's core features, covering LLM vs. Agent concepts, unified interface design, multi-provider support, environment setup, and hands-on code examples for AI app development.
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Industry Insights·2 min
Cisco Partners with OpenAI Codex: Three Core Scenarios for Enterprise AI Engineering
Cisco partners with OpenAI to bring Codex into enterprise engineering, covering AI-native development, AI Defense security acceleration, and automated bug fixing.
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Tutorials·3 min
Harness Engineering: A Practical Guide to AI Development — From Prompts to Mastering AI Agents
A deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.
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Deep Dives·3 min
From Copilot to Agentic AI: Understanding AI's Evolution Through Four Stages
A systematic breakdown of AI's four-stage evolution from Chat Mode to Agentic AI, covering multi-agent architectures, ReAct framework, and MCP protocol.
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Tutorials·3 min
Complete Breakdown of Andrew Ng's Agent Course: A Practical Guide to the Five Core Modules of AI Agent Development
Deep dive into Andrew Ng's viral AI Agent course covering five core modules: Reflection, Planning, Tool Use, Multi-Agent Collaboration, and Memory, with practical learning paths for LLM agent development.
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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·2 min
Huawei Hermes Agent Manual Explained: Five-Layer Memory Architecture and Multi-Agent Collaboration in Practice
Deep dive into Huawei's 100-page Hermes Agent manual: five-layer memory architecture solving AI amnesia, self-evolution loops for continuous optimization, and multi-agent collaboration engineering.
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Tutorials·2 min
8 Core Concepts of AI Programming: From Chat Mode to Engineering Mode
A systematic breakdown of 8 core AI programming concepts: Agent, Sandbox, Permissions, Cloud.md, MCP, Skills, Subagents, and Non-interactive — evolving from chat mode to engineering mode.
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Expert Opinions·2 min
A Day in the Life of an AI Entrepreneur: Exploration-Driven Work Replacing Schedule-Driven Routines
AI entrepreneur Liu Xiaopai shares his daily routine: using AI assistants to filter information, instantly exploring new tools, and validating ideas through low-cost trial and error at scale.
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Tutorials·2 min
Hermes Agent Development in Practice: From Installation & Configuration to Lark Integration and Code Review
A practical guide to the Hermes enterprise AI Agent framework: installation, MCP protocol integration, Lark bots, news aggregation, and automated code review.
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