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TutorialsA 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.
TutorialsIn-depth analysis of Anthropic's Claude Code SDK & GitHub Action: piping, structured output, permissions, session resumption, and fully automated Issue-to-PR workflows.
TutorialsA beginner's guide to learning AI large language models — covering learning paths, hardware requirements, Python essentials, and cloud services for learners at every level.
Deep DivesDeep 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.
TutorialsA complete guide to AI-driven browser automation with Hermes Agent and Playwright, covering setup, three AI modes (snapshot decisions, multi-turn dialogue, autonomous exploration), retry mechanisms, and optimization tips.
TutorialsLearn how to redirect Claude Agent SDK API requests to local LLMs via LiteLLM Proxy, achieving zero-cost inference while retaining full agent framework capabilities.
Deep DivesDeep dive into MCP (Model Context Protocol): architecture, how it works, and security risks. Learn the key differences between MCP and Function Calling.
TutorialsDeep dive into MCP (Model Context Protocol): its core concepts, three communication mechanisms, and ecosystem. Learn how MCP replaces Function Calling with Streamable HTTP and SDK 2.0.
TutorialsDeep dive into an open-source multi-Agent diagnostic system built on modified OneCall, featuring MCP real-time interaction, RAG-enhanced Q&A, and Skill routing to minimize Token consumption.
TutorialsCompare Claude Code vs traditional AI chat tools like ChatGPT across 5 dimensions: interaction, context, execution, memory, and tool invocation to decide if this AI coding assistant is right for you.
Industry InsightsDeep dive into MCP protocol architecture in Agent platforms, covering MCP Proxy design, tool invocation for human-in-the-loop collaboration, permission integration, and advantages over Skill approaches.
TutorialsA detailed guide to MCP (Model Context Protocol) covering its three-layer architecture, ecosystem marketplace, and practical integration for connecting AI models with external tools.
Industry InsightsAn in-depth analysis of C++ + AI full-stack training programs covering CUDA, YOLO, RAG, and interest-aligned employment guarantees for C++ developers transitioning to AI roles.
Product ReviewsGoogle releases Antigravity SDK preview, a Python AI Agent framework. Features minimal code startup, declarative security policies, MCP integration, multimodal input, and streaming output.
Product ReviewsGoogle releases Antigravity CLI for terminal-based AI agent interaction. Explore its core features, Agent Harness architecture, Gemini CLI migration path, and cross-product collaboration workflows.
TutorialsStep-by-step guide to installing Claude Code locally and configuring Zhipu GLM as a domestic model alternative. No VPN needed, setup in minutes—the most affordable AI coding assistant for Chinese developers.
Tech FrontiersThis week in AI: OpenAI's next-gen base model Spud (GPT-6) targets Spring 2026, Anthropic builds persistent agent Conway, Cursor 3 rebuilds the IDE for agents, DeepSeek V4 runs natively on Huawei chips, and Qwen 3.6 and Gemma 4 lead open-source.
Deep DivesA clear breakdown of MCP (Model Context Protocol): its core concepts, three standard primitives, real-world use cases, and ecosystem status. Learn how Anthropic's open-source unified tool integration standard is changing AI development.