#AI Agent
1116 related articles
TutorialsAndrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
Deep DivesAI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
Industry InsightsAlibaba's $52B AI Investment: A Full-Stack Cloud Infrastructure Upgrade for the Agent Era
Alibaba invests $52B in AI cloud infrastructure over 3 years. Bailian Platform hits 8B yuan ARR with 11 quarters of triple-digit AI revenue growth. Deep analysis of Alibaba Cloud's full-stack Agent upgrade strategy.
Product ReviewsOpenHuman Deep Dive: A Context-First Open-Source Personal AI Agent
Deep dive into OpenHuman open-source AI Agent: context-first architecture, Rust+React hybrid, Memory Tree system, Token Juice compression, and multi-model routing.
Industry InsightsTwo Major Career Paths in AI Large Language Models: Engineering Implementation vs. Algorithm Research
In-depth analysis of two core AI LLM career paths: engineering implementation vs. algorithm research. Compare education requirements, skills, and job prospects for programmers transitioning to AI.
Deep DivesCan AI Agents Replace a Development Team? A Practical Guide for Non-Technical People
Can non-technical people use AI Agents to build virtual dev teams? From CEO Agent to Developer Agent, we analyze the theory vs. reality and offer a practical implementation guide.
TutorialsBuilding AI Agents with Node.js: Replacing Prompt Engineering with Function Calls
Learn how to refactor a Node.js AI Agent using Function Calls instead of prompt engineering. Covers tool definition via JSON Schema, the Agent Loop, and key implementation details from analyzing Claude Code.
Tech FrontiersGemini Spark Officially Launches: Google Builds a Cross-Service AI Action Assistant
Google Gemini Spark launches for AI Ultra subscribers. This intelligent action assistant works across apps, shifting AI from information provider to task executor. Deep dive into its capabilities and competitive edge.
Product ReviewsCodex Computer Use Hands-On Review: Setup Guide, How It Works, and Security Risks Explained
Hands-on review of OpenAI Codex Computer Use: step-by-step setup guide, WeChat demo, screenshot-based core principles, and analysis of three major security risks including privacy leakage and current limitations.
Tech FrontiersSGLang Hosts Agent Loops Office Hour, Focusing on Agentic Loop Architecture Optimization
SGLang team hosts an Agent Loops Office Hour exploring inference optimization for agentic loops, covering KV Cache reuse, low-latency multi-turn dialogue, and tool calling techniques.
Codex Comes to Windows: AI Agents Take…
Codex Comes to Windows: AI Agents Take Over Your Computer to Get Work Done
OpenAI Codex for Windows now supports Computer Use, letting AI agents directly control your PC. With Chrome multi-tab background work and mobile remote control.
TutorialsAI Agent Practical Development: A Complete Guide from Concept to Building Production-Grade Intelligent Agents
A deep dive into AI Agent core principles and practical development paths, covering perception-decision-execution capabilities, MCP protocol tool integration, and analysis of Manus and AutoGLM.
TutorialsThe Complete Guide to Spring AI: A Full Learning Path for Java Engineers Building AI Applications
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
Tech FrontiersGeneric Agent: A Self-Evolving AI Agent Built with Just 3,000 Lines of Code
Generic Agent builds a self-evolving AI agent with just 3,000 lines of code, 9 atomic tools, and a five-layer memory architecture — using only one-sixth the tokens of competitors.
TutorialsAI Agent Learning Roadmap: From Beginner to Enterprise-Level Development in Three Months
A detailed three-month AI Agent learning roadmap covering LLM basics, ReAct paradigm, LangChain, memory mechanisms, tool calling, and multi-agent collaboration with practical project suggestions.
Tech FrontiersClaude Opus 4.8 Deep Dive: Honesty Matters More Than Benchmarks
Claude Opus 4.8 core upgrade: code bug oversight rate reduced 4x, model becomes more honest. Covers Dynamic Workflows parallel orchestration, Claude Code quota reset, effort control, and upcoming Miscells model.
ResearchHow GitHub Is Building a General-Purpose Accessibility AI Agent: Lessons Learned and Technical Challenges
GitHub is building a general-purpose accessibility AI Agent to automatically detect and fix software accessibility issues. Explore the technical challenges, human-AI collaboration, and industry impact.
Deep DivesMCP Apps Deep Dive: AI Tools Move from Text Exchange to Interactive Collaboration
Deep analysis of MCP Apps: how Anthropic and OpenAI's official MCP extension enables AI tools to return interactive UIs, solving the context gap with Human-in-the-Loop collaboration.
Industry InsightsBehind the Gemini CLI Explosion: Why the Terminal Is Becoming the Ultimate Gateway for AI Agents
Google's open-source Gemini CLI hit 100K GitHub stars. This article analyzes why the terminal is becoming the ultimate AI Agent gateway through execution chains, infrastructure integration, and more.
TutorialsBuilding a Financial Report Analysis AI Agent with Cursor + Skills: A Step-by-Step Tutorial from Scratch
A hands-on tutorial for building a financial report analysis AI Agent from scratch using Cursor editor, Skills definitions, and MiniMax M2.1. Covers setup, architecture, Skills methodology, and multi-language programming.