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Product ReviewsDeep dive into Gizang-PPT-Skill, an 8K-star GitHub project that equips AI Agents with visual design skills for magazine-quality PPT creation with consistent aesthetics.
TutorialsA detailed guide to Anthropic's official MCP course covering client-server architecture, building MCP servers, third-party integrations, and remote deployment for standardized AI tool access.
Product ReviewsIn-depth comparison of Replit Agent 4, Cursor Automations, and PageAgent across positioning, capabilities, pricing, and use cases to find your ideal AI colleague.
Deep DivesDeep dive into AI Agent architecture covering core components, AutoGPT, BabyAGI, HuggingGPT, LlamaIndex frameworks, and Chain-of-Thought techniques like CoT, CoT-SC, and ToT.
TutorialsBuild an AI Agent in 200 lines of Python from scratch. A deep dive into the five core modules: Prompt, Memory, Tool Use, RAG, and Skill, with progressive development workflow.
Product ReviewsHands-on review of HiSnap AI multi-agent development platform: building mini programs in minutes with zero coding, from runner games to professional questionnaires. Analyzing real capability boundaries.
Product ReviewsHands-on test of Kimi K2.5 multi-Agent collaboration: from a one-sentence requirement to automatic task breakdown, competitive research, UI design, and frontend development delivering a working website.
Deep DivesExplore how AITS uses AI Agents to auto-generate test cases, self-heal scripts, and run exploratory testing — helping engineers evolve from script writers to AI testing strategists.
TutorialsHow Java programmers can break through the age-35 career bottleneck by stacking AI skills. Covers AI learning levels, Java+AI synergy, and actionable transition strategies.
TutorialsComplete guide to building AI Agents in LangChain v0.3, covering @tool decorator, Agent Executor, parallel tool calls, Google Search integration, and ReAct framework with code examples.
Deep DivesDeep analysis of NVIDIA's multi-agent system for quantitative financial signal discovery, covering architecture design, LLM financial reasoning, and automated backtesting iteration.
Deep DivesAI is evolving from a single tool into a complete operating system. This article analyzes AI OS core architecture, MCP/A2A protocol standardization, and how Agents are becoming the next OS paradigm.
TutorialsStep-by-step tutorial to deploy Hermes Agent with Qwen3.6 open-source LLM locally. Covers WSL setup, model download, Telegram bot integration for a zero-cost private AI Agent.
Deep DivesA deep dive into Berkeley CS294-196's agentic AI security lecture, covering prompt injection, indirect injection, AgentPoison backdoor attacks, defense-in-depth, least privilege, and runtime guardrails.
TutorialsDeep dive into OpenClaw's Skill mechanism for AI Agent development, covering Function Calling, RAG, production deployment, and resume-worthy project design.
TutorialsDeep dive into 5 fatal AI Agent failure modes: infinite loops, tool hallucination, context explosion, error cascades, and permission escalation — with practical safety architecture solutions.
Deep DivesDeep dive into Agent Loop, the core mechanism of AI Agents, based on ReAct architecture. Covers Tool Call ID handling, context management, assistant message feedback, with full Python code and common bug fixes.
TutorialsDeep comparison of AI Agent interview focuses at ByteDance, Tencent, and Alibaba: ByteDance drills ReAct implementation & RLHF details, Tencent emphasizes MCP protocols & memory systems, Alibaba focuses on multi-Agent architecture & business deployment.
Expert OpinionsClaude Code creator Boris Cherny shares 3 power tips: parallel multitasking, Loop execution, and self-verification feedback loops. Transform your AI from a passive tool into a 24/7 automated dev team.
Deep DivesA plain-English guide to LLMs, Skills, AI Agents, and OpenClaude — clarifying how AI evolved from "can talk" to "can act" to "can act autonomously," with a comparison table.